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Editorial Enabling Technologies towards Next Generation ...
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EditorialEnabling Technologies towards Next GenerationMobile Systems and Networks
Yeong M. Jang,1 Juan C. Cano,2 Kun Yang,3 and Young-June Choi4
1Kookmin University, Seoul, Republic of Korea2Universitat Politecnica de Valencia, Valencia, Spain3University of Essex, Colchester, UK4Ajou University, Suwon, Republic of Korea
Correspondence should be addressed to Yeong M. Jang; [email protected]
Received 4 December 2016; Accepted 5 December 2016
Copyright © 2016 Yeong M. Jang et al. This is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Mobile services have become an essential part in the eraof 5G networks. The mobile system will be based on cloudcomputing, IoT, user-centric services, and mobile commu-nication. Cloud service is necessary to support mobility andreal-time operation, reliable content delivery such as content-centric network, and content delivery networks togetherwith mobile cloud systems. Next generation mobile systemsand networks are also facing a huge challenge to handle alarge number of IoT devices because in the near future allthe devices will be connected with each other. So effectivenetworks and systems are necessary to manage and handlethe increasing numbers of devices such as cloud computing,automated networkmanagement, new service platforms, andnew network architectures (e.g., Software Defined Network(SDN) andNetwork Function Virtualization (NFV)) towardsthe promising 5G mobile networks and services.
In this special issue, we have invited a few papers thataddress such issues. Among them, ten selected papers areaddressed to researchers and engineers practicing in thescientific areas for the next generation mobile system andnetworks.
The paper entitled “An Architecture of IoT ServiceDelegation and Resource Allocation Based on Collaborationbetween Fog and Cloud Computing” by A. A. Alsaffar etal. presents an architecture and new algorithm for smartIoT service based on three conditions for managing anddelegating user request. They also propose a new techniqueto take care of fog and cloud environment by allocating
resources to ensure QoS and service level agreement (SLA).Their proposed scheme shows improved management, betterservice delegation, efficient resource allocation, and big datadistribution compared to the existing methods.
The paper “Multivariate Multiple Regression Models fora Big Data-Empowered SON Framework in Mobile WirelessNetworks” by Y. Shin et al. outlines the background of bigdata, big data self-organizing networks (BSON) framework,and multiple regression models. The authors propose multi-variate multiple regression models for the BSON frameworkwith the implementation using MapReduce.
The paper titled “mCSQAM: Service Quality AssessmentModel in Mobile Cloud Services Environment” by Y.-R. Shinand E.-N. Huh proposes an architecture named mCSQAMto determine the quality metrics for limiting the problems ofcloud computing.The authors propose anAnalytic HierarchyProcess (AHP) method to access the mobile cloud servicesbased on different requirements from the service consumers.
The paper named “Securing SDN Southbound and DataPlane Communication with IBC” by J. Lam et al. presentsa distributed SDN secured communication with a multido-main capable Identity-Based Cryptography (IBC) protocol,particularly for the southbound and wireless data plane com-munication. They also analyzed the TLS-secured MessageQueuing Telemetry Transport (MQTT) message exchangeprotocol to find out the possible bandwidth saved with IBC.The authors argue that this system is easier to use becauseit ensures higher network performance and lower power
Hindawi Publishing CorporationMobile Information SystemsVolume 2016, Article ID 9805636, 2 pageshttp://dx.doi.org/10.1155/2016/9805636
CORE Metadata, citation and similar papers at core.ac.uk
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2 Mobile Information Systems
consumption of the IoT devices as well as supporting moreIoT devices without upgrading the infrastructure.
The paper “Data-Driven Handover Optimization inNext Generation Mobile Communication Networks” by P.-C. Lin et al. addresses network densification problems(mobility problems) for next generation mobile communi-cation networks due to the increasing network capacity. Theauthors propose a data-driven handover optimization (DHO)method tomitigate the problems.TheDHOapproach collectsdata frommobile communication to form a model through akey performance indicator (KPI). The authors think that theresults using the proposed approach could successfully relievethe mobility problems.
The paper named “Hierarchical Brokering with FeedbackControl Framework in Mobile Device-Centric Clouds” byC.-L. Chen et al. presents a hierarchical brokering architec-ture (HiBA) and Mobile Multicloud Networking (MMCN)feedback control framework for next generation device-centric cloud computing with the mathematical analysis foravailability and network latency. The authors perform anexperiment with HiBA federates heterogeneous mobile andfixed devices in three tiers using different network interfaces.From the results, it shows that the approach is an amendedplatform for mobile cloud computing and ensures a sensiblesolution to various services.
The paper titled “SDN Based User-Centric Frameworkfor HeterogeneousWireless Networks” by Z. Lu et al. designsa new framework for heterogeneous wireless networks withthe support of user-centricity to fulfill users’ preferencesand requirements. Away from the conventional frameworkSDN based framework provides better performance. As SDNhas decoupled data and control plane virtually and logicallycentralized structure, it is easy to manage the HetNets inan efficient and flexible way. In this paper, the authors alsoanalyze the possible overheads of the user-centric frameworksuch as signaling overhead and control delay.
Thepaper “Performance Evaluation ofMoving Small-CellNetworkwithProactiveCache” byY.M.Kwon et al. presents amoving small-cells (mSCs) network, its architecture, and theproposed proactive caching mechanism. The results confirmthat the QoS of moving cell can be improved by usingmSCs together with proactive caching which also reducesthe wireless backhaul load and increases the overall networkcapacity. The authors also argue that the overall networkperformance is highly dependent on the number of mSCsdeployed, cache size, and content popularity.
The paper entitled “SmartCop: Enabling Smart TrafficViolations Ticketing in Vehicular Named Data Networks”by S. H. Ahmed et al. addresses a problem of smart trafficviolation ticketing (TVT) in Vehicular Ad hoc Networks(VANETs). The existing technologies are not suitable forVANETs as its dependency on named contents instead ofhost contents. In this paper, the authors propose a smartTVT system for vehicular named data networking termed asSmartCop which helps a cop vehicle (CV) to issue a TVTto the offenders autonomously. They also provide simulatedcomparison results for messaging delay, ticket issuing delay,and percentage of detection for different vehicles, CVs, andalso the vehicles speeds which are being assessed.
The paper entitled “Survey of Promising Technologies for5G Networks” by N. T. Le et al. provides a comprehensivesurvey of the promising technologies for 5G networks such asSoftware Defined Networking (SDN), cloud computing, IoT,and other wireless technologies.They outline the surveys andprovide the future research direction of these technologies for5G networks.
Acknowledgments
Wewould like to thank the authors who submitted their arti-cles to this issue and the reviewers for providing constructiveand timely feedback.
Yeong M. JangJuan C. Cano
Kun YangYoung-June Choi
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