Service Architecture of Grid Faults Diagnosis Expert System Based on Web Service Wang Mingzan, Zhang...
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Transcript of Service Architecture of Grid Faults Diagnosis Expert System Based on Web Service Wang Mingzan, Zhang...
Service Architecture of Grid Faults Diagnosis Expert System
Based on Web Service
Wang Mingzan Zhang ziye
1049284Northeastern University Shenyang 110004 China1049284
The Eighth International Conference on Electronic Measurement and Instruments ICEMIrsquo2007
Outline
bull Introduction
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
bull Conclusion
Introduction
bull With the advance of computer technology the scale and complexity of modern system is increased dramatically Once some accidents take place it will lead to tremendous loss
bull The appearance of faults diagnosis and fault-tolerant controlling technology opens a new path for advancing the reliability of complex system
bull The grid computing technology was firstly used in faults diagnosis expert system in the paper
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
Open Grid Services Architecture
OGSA Based on Web Services
User
Firstly client send request tothe Servlet (Web service layer)residenting on Webserver through browserServlet is responsible forcalling correspondingEJB (Enterprise Java Beans)components on application serverThe activatedcomponent accesses the backend data layer andprocesses the data
OGSA Based on Web Services
bull Then Servlet chooses the appropriate JSP program (Web service layer) and transfers the result JSP returns the result in the form of HTML to browser
bull Client can be the Java application procedure CORBA customer or the service partner They separately communicate with the EJB component through the different protocol
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
Open Grid Services Architecture
Grid Service Layer Base on OGSA
bull The grid services include procedure execution data service and so on
bull With the appearance of these services OGSA will turn into useful Service-Oriented Architecture (SOA)
Grid Service Layer Base on OGSA
bull The strategy of task dividing will affect directly the load balance the communication complexity and the dependence of the tasks
(1) Based on the deserializing analysis develop the public service and the parallel service in server This step needs to deploy every parallel service to all nodes in the grid
(2) According to the number of parallel nodes in the grid call threads in the client each can visit the parallel service
(3) Monitor the status of these threads perform fault diagnoses and compile the result
Grid Service Layer Base on OGSA
DGMA Based on Fault Diagnosis Expert Systems
Grid Service Layer Base on OGSA
bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service
bull Therefore it reduces the clientrsquos load and achieves the application deserializing
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
- Slide 1
- Slide 2
- Slide 3
- Slide 4
- Slide 5
- Slide 6
- Slide 7
- Slide 8
- Slide 9
- Slide 10
- Slide 11
- Slide 12
- Slide 13
- Slide 14
- Slide 15
- Slide 16
- Slide 17
- Slide 18
- Slide 19
-
Outline
bull Introduction
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
bull Conclusion
Introduction
bull With the advance of computer technology the scale and complexity of modern system is increased dramatically Once some accidents take place it will lead to tremendous loss
bull The appearance of faults diagnosis and fault-tolerant controlling technology opens a new path for advancing the reliability of complex system
bull The grid computing technology was firstly used in faults diagnosis expert system in the paper
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
Open Grid Services Architecture
OGSA Based on Web Services
User
Firstly client send request tothe Servlet (Web service layer)residenting on Webserver through browserServlet is responsible forcalling correspondingEJB (Enterprise Java Beans)components on application serverThe activatedcomponent accesses the backend data layer andprocesses the data
OGSA Based on Web Services
bull Then Servlet chooses the appropriate JSP program (Web service layer) and transfers the result JSP returns the result in the form of HTML to browser
bull Client can be the Java application procedure CORBA customer or the service partner They separately communicate with the EJB component through the different protocol
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
Open Grid Services Architecture
Grid Service Layer Base on OGSA
bull The grid services include procedure execution data service and so on
bull With the appearance of these services OGSA will turn into useful Service-Oriented Architecture (SOA)
Grid Service Layer Base on OGSA
bull The strategy of task dividing will affect directly the load balance the communication complexity and the dependence of the tasks
(1) Based on the deserializing analysis develop the public service and the parallel service in server This step needs to deploy every parallel service to all nodes in the grid
(2) According to the number of parallel nodes in the grid call threads in the client each can visit the parallel service
(3) Monitor the status of these threads perform fault diagnoses and compile the result
Grid Service Layer Base on OGSA
DGMA Based on Fault Diagnosis Expert Systems
Grid Service Layer Base on OGSA
bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service
bull Therefore it reduces the clientrsquos load and achieves the application deserializing
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
- Slide 1
- Slide 2
- Slide 3
- Slide 4
- Slide 5
- Slide 6
- Slide 7
- Slide 8
- Slide 9
- Slide 10
- Slide 11
- Slide 12
- Slide 13
- Slide 14
- Slide 15
- Slide 16
- Slide 17
- Slide 18
- Slide 19
-
Introduction
bull With the advance of computer technology the scale and complexity of modern system is increased dramatically Once some accidents take place it will lead to tremendous loss
bull The appearance of faults diagnosis and fault-tolerant controlling technology opens a new path for advancing the reliability of complex system
bull The grid computing technology was firstly used in faults diagnosis expert system in the paper
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
Open Grid Services Architecture
OGSA Based on Web Services
User
Firstly client send request tothe Servlet (Web service layer)residenting on Webserver through browserServlet is responsible forcalling correspondingEJB (Enterprise Java Beans)components on application serverThe activatedcomponent accesses the backend data layer andprocesses the data
OGSA Based on Web Services
bull Then Servlet chooses the appropriate JSP program (Web service layer) and transfers the result JSP returns the result in the form of HTML to browser
bull Client can be the Java application procedure CORBA customer or the service partner They separately communicate with the EJB component through the different protocol
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
Open Grid Services Architecture
Grid Service Layer Base on OGSA
bull The grid services include procedure execution data service and so on
bull With the appearance of these services OGSA will turn into useful Service-Oriented Architecture (SOA)
Grid Service Layer Base on OGSA
bull The strategy of task dividing will affect directly the load balance the communication complexity and the dependence of the tasks
(1) Based on the deserializing analysis develop the public service and the parallel service in server This step needs to deploy every parallel service to all nodes in the grid
(2) According to the number of parallel nodes in the grid call threads in the client each can visit the parallel service
(3) Monitor the status of these threads perform fault diagnoses and compile the result
Grid Service Layer Base on OGSA
DGMA Based on Fault Diagnosis Expert Systems
Grid Service Layer Base on OGSA
bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service
bull Therefore it reduces the clientrsquos load and achieves the application deserializing
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
- Slide 1
- Slide 2
- Slide 3
- Slide 4
- Slide 5
- Slide 6
- Slide 7
- Slide 8
- Slide 9
- Slide 10
- Slide 11
- Slide 12
- Slide 13
- Slide 14
- Slide 15
- Slide 16
- Slide 17
- Slide 18
- Slide 19
-
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
Open Grid Services Architecture
OGSA Based on Web Services
User
Firstly client send request tothe Servlet (Web service layer)residenting on Webserver through browserServlet is responsible forcalling correspondingEJB (Enterprise Java Beans)components on application serverThe activatedcomponent accesses the backend data layer andprocesses the data
OGSA Based on Web Services
bull Then Servlet chooses the appropriate JSP program (Web service layer) and transfers the result JSP returns the result in the form of HTML to browser
bull Client can be the Java application procedure CORBA customer or the service partner They separately communicate with the EJB component through the different protocol
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
Open Grid Services Architecture
Grid Service Layer Base on OGSA
bull The grid services include procedure execution data service and so on
bull With the appearance of these services OGSA will turn into useful Service-Oriented Architecture (SOA)
Grid Service Layer Base on OGSA
bull The strategy of task dividing will affect directly the load balance the communication complexity and the dependence of the tasks
(1) Based on the deserializing analysis develop the public service and the parallel service in server This step needs to deploy every parallel service to all nodes in the grid
(2) According to the number of parallel nodes in the grid call threads in the client each can visit the parallel service
(3) Monitor the status of these threads perform fault diagnoses and compile the result
Grid Service Layer Base on OGSA
DGMA Based on Fault Diagnosis Expert Systems
Grid Service Layer Base on OGSA
bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service
bull Therefore it reduces the clientrsquos load and achieves the application deserializing
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
- Slide 1
- Slide 2
- Slide 3
- Slide 4
- Slide 5
- Slide 6
- Slide 7
- Slide 8
- Slide 9
- Slide 10
- Slide 11
- Slide 12
- Slide 13
- Slide 14
- Slide 15
- Slide 16
- Slide 17
- Slide 18
- Slide 19
-
OGSA Based on Web Services
User
Firstly client send request tothe Servlet (Web service layer)residenting on Webserver through browserServlet is responsible forcalling correspondingEJB (Enterprise Java Beans)components on application serverThe activatedcomponent accesses the backend data layer andprocesses the data
OGSA Based on Web Services
bull Then Servlet chooses the appropriate JSP program (Web service layer) and transfers the result JSP returns the result in the form of HTML to browser
bull Client can be the Java application procedure CORBA customer or the service partner They separately communicate with the EJB component through the different protocol
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
Open Grid Services Architecture
Grid Service Layer Base on OGSA
bull The grid services include procedure execution data service and so on
bull With the appearance of these services OGSA will turn into useful Service-Oriented Architecture (SOA)
Grid Service Layer Base on OGSA
bull The strategy of task dividing will affect directly the load balance the communication complexity and the dependence of the tasks
(1) Based on the deserializing analysis develop the public service and the parallel service in server This step needs to deploy every parallel service to all nodes in the grid
(2) According to the number of parallel nodes in the grid call threads in the client each can visit the parallel service
(3) Monitor the status of these threads perform fault diagnoses and compile the result
Grid Service Layer Base on OGSA
DGMA Based on Fault Diagnosis Expert Systems
Grid Service Layer Base on OGSA
bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service
bull Therefore it reduces the clientrsquos load and achieves the application deserializing
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
- Slide 1
- Slide 2
- Slide 3
- Slide 4
- Slide 5
- Slide 6
- Slide 7
- Slide 8
- Slide 9
- Slide 10
- Slide 11
- Slide 12
- Slide 13
- Slide 14
- Slide 15
- Slide 16
- Slide 17
- Slide 18
- Slide 19
-
OGSA Based on Web Services
bull Then Servlet chooses the appropriate JSP program (Web service layer) and transfers the result JSP returns the result in the form of HTML to browser
bull Client can be the Java application procedure CORBA customer or the service partner They separately communicate with the EJB component through the different protocol
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
Open Grid Services Architecture
Grid Service Layer Base on OGSA
bull The grid services include procedure execution data service and so on
bull With the appearance of these services OGSA will turn into useful Service-Oriented Architecture (SOA)
Grid Service Layer Base on OGSA
bull The strategy of task dividing will affect directly the load balance the communication complexity and the dependence of the tasks
(1) Based on the deserializing analysis develop the public service and the parallel service in server This step needs to deploy every parallel service to all nodes in the grid
(2) According to the number of parallel nodes in the grid call threads in the client each can visit the parallel service
(3) Monitor the status of these threads perform fault diagnoses and compile the result
Grid Service Layer Base on OGSA
DGMA Based on Fault Diagnosis Expert Systems
Grid Service Layer Base on OGSA
bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service
bull Therefore it reduces the clientrsquos load and achieves the application deserializing
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
- Slide 1
- Slide 2
- Slide 3
- Slide 4
- Slide 5
- Slide 6
- Slide 7
- Slide 8
- Slide 9
- Slide 10
- Slide 11
- Slide 12
- Slide 13
- Slide 14
- Slide 15
- Slide 16
- Slide 17
- Slide 18
- Slide 19
-
bull OGSA ( Open Grid Services Architecture )ndash OGSA Based on Web Servicesndash Grid Service Layer Base on OGSA
Open Grid Services Architecture
Grid Service Layer Base on OGSA
bull The grid services include procedure execution data service and so on
bull With the appearance of these services OGSA will turn into useful Service-Oriented Architecture (SOA)
Grid Service Layer Base on OGSA
bull The strategy of task dividing will affect directly the load balance the communication complexity and the dependence of the tasks
(1) Based on the deserializing analysis develop the public service and the parallel service in server This step needs to deploy every parallel service to all nodes in the grid
(2) According to the number of parallel nodes in the grid call threads in the client each can visit the parallel service
(3) Monitor the status of these threads perform fault diagnoses and compile the result
Grid Service Layer Base on OGSA
DGMA Based on Fault Diagnosis Expert Systems
Grid Service Layer Base on OGSA
bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service
bull Therefore it reduces the clientrsquos load and achieves the application deserializing
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
- Slide 1
- Slide 2
- Slide 3
- Slide 4
- Slide 5
- Slide 6
- Slide 7
- Slide 8
- Slide 9
- Slide 10
- Slide 11
- Slide 12
- Slide 13
- Slide 14
- Slide 15
- Slide 16
- Slide 17
- Slide 18
- Slide 19
-
Grid Service Layer Base on OGSA
bull The grid services include procedure execution data service and so on
bull With the appearance of these services OGSA will turn into useful Service-Oriented Architecture (SOA)
Grid Service Layer Base on OGSA
bull The strategy of task dividing will affect directly the load balance the communication complexity and the dependence of the tasks
(1) Based on the deserializing analysis develop the public service and the parallel service in server This step needs to deploy every parallel service to all nodes in the grid
(2) According to the number of parallel nodes in the grid call threads in the client each can visit the parallel service
(3) Monitor the status of these threads perform fault diagnoses and compile the result
Grid Service Layer Base on OGSA
DGMA Based on Fault Diagnosis Expert Systems
Grid Service Layer Base on OGSA
bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service
bull Therefore it reduces the clientrsquos load and achieves the application deserializing
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
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-
Grid Service Layer Base on OGSA
bull The strategy of task dividing will affect directly the load balance the communication complexity and the dependence of the tasks
(1) Based on the deserializing analysis develop the public service and the parallel service in server This step needs to deploy every parallel service to all nodes in the grid
(2) According to the number of parallel nodes in the grid call threads in the client each can visit the parallel service
(3) Monitor the status of these threads perform fault diagnoses and compile the result
Grid Service Layer Base on OGSA
DGMA Based on Fault Diagnosis Expert Systems
Grid Service Layer Base on OGSA
bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service
bull Therefore it reduces the clientrsquos load and achieves the application deserializing
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
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-
Grid Service Layer Base on OGSA
DGMA Based on Fault Diagnosis Expert Systems
Grid Service Layer Base on OGSA
bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service
bull Therefore it reduces the clientrsquos load and achieves the application deserializing
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
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-
Grid Service Layer Base on OGSA
bull In the solution above the server end in the grid nodes process main service logic the client end need only start multi-threads to call and monitor the completion condition of service
bull Therefore it reduces the clientrsquos load and achieves the application deserializing
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
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-
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
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- Slide 19
-
Grid Nodes of Fault Diagnosis Expert Systems
bull The server is composed of two grid nodes They are grid nodes for spectral analysis and the data trend analysis respectively
bull Java language is used to write Web Service program which realizes the grid computation and access process in the clients and the servers
bull the grid nodes can also analyze the load of current node So it can schedule the grid-cell resources more reasonably which is especially important for the application of large-scale grid
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
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-
Application
bull Applicationndash Grid Nodes of Fault Diagnosis Expert Systemsndash Data Transfer
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
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-
Data Transfer
bull The experimental environment of the design is established in LAN
bull We use 4 PC to construct a grid middleware
bull In Grid-based Fault Diagnosis Expert System the data transfer uses the way of GridFTP
bull Then used API function to realize data transfer through Java Cog Kit
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
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-
Data Transfer
bull (1) Establish a Spec of transmission task this Spec is similar to RSL
bull (2) Set the source address and the destination address in transmission and begin using the third party to transmit
bull (3) Establish a transmission serve for the data resources of the source address
bull (4) Establish a transmission service for the data resources of the destination address
bull (5) Join the source address service and the destination address service to the service in order to realize data transmission between two services
bull (6) Submit the duty and realize data transmission
Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
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Data Transfer
bull The system uses API provided by Java Cog Kit to carry out service submission Cog Kit uninterruptedly intercepts execution status of accepting the work node through Status Listener In Cog Kit the execution situation of work is SUBMITTED FAILED and COMPLETED Respectively
bull In the client-end we maintain a thread table It includes thread number state (0 moving 1 moving failure 2 normal terminating)
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
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-
Data Transfer
bull Through above application it can reduce the transfer latency brought by the network
bull Moreover the jobs are not uniformly allocated through the GFDES interface at the same time Consequently the communication bottleneck is avoided
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
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-
Conclusion
bull When construct GFDES based on the Web Service the public service and the parallel service can enhance the sharing of application code
bull It makes the application more flexible through the unified way of the service and the job and increases the efficiency of several jobs parallel with the aid of the Javarsquos multi-threading
- Slide 1
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