AUTHORS: STIJN POLFLIET ET. AL. BY: ALI NIKRAVESH Studying Hardware and Software Trade-Offs for a...
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Transcript of AUTHORS: STIJN POLFLIET ET. AL. BY: ALI NIKRAVESH Studying Hardware and Software Trade-Offs for a...
AUTHORS:STIJN POLFLIET ET. AL.
BY:ALI NIKRAVESH
Studying Hardware and Software Trade-Offs for a
Real-Life Web 2.0 Workload
Agenda
Introduction - What is the research question?What is authors’ approach to address the
problem?Results
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Introduction
Online Social Networking Facebook Twitter LinkedIn Netlog
Large number of users designing the servers and data centres to support social networking is challenging
Large scale data centres very much cost driven
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Introduction (contd.)
Factors that affect the cost of data centre: Hardware infrastructure Power and cooling infrastructure Operating expenditure Real estate
Increase performance increase cost Reduce cost reduce performance RESULT optimize performance per dollar
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Introduction (contd.)
So, which server should be bought? Depends on workload (interactive, batch, memory
intensive,…)
Idea: different workloads run on different hardware Correct hardware for correct task
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Introduction (contd.)
Research Question:
Scope: Social networking
Can we come up with a way of guiding service operators and owners of data centre to what hardware to purchase
for a given workload?
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Analysis
Social networking workload Multiple services run on multiple servers in a
distributed way in a data center
Fundamental difficulty performance of the ensemble can only be measured by modeling and evaluating the ensemble
Authors’ approach: A case study to evaluate how hardware choices affect end-user experience
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Case study
Netlog Is a social network available in 40 languages
Architecture WS 54% MC 16% DB 30%
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Experimental Setup
10 dual AMD Opteron 6168 servers12 cores per CPU64 GB of main memoryHDD & SSD
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Web Server Results
Three CPU frequency 1.9 GHz 1.3 GHz 800 Mhz
Frequency has a significant impact on response time.
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Web Server Results (contd.)
Number of cores per node Four-socket system is typically more than twice as
expensive as a two-socket system. As long as the total number of cores is constant, CPU
node is not affected much by node and core count
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Database Server
Database server: HDD versus SDDAlthough this is a significant reduction in the
longest response times observed, it may not justify the significantly higher cost of SSD versus HDD
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Usecase
Hardware Purchasing Hardware vendor suggestion:
Web server: Intel Xeon X3480, 8 GB RAM, typical HDD ($1795)
Memcached server: Intel Xeon X3480, 16GB RAM, typical HDD ($2015)
Database server: Intel Xeon X3480, 16GB RAM, SSD ($2915) Total: $18615
Suggestion Web server the same as above. Memcached the same as Web
server but lower CPU frequency. DB the same as memcached but not SSD (Total: $15015 – 18.9% reduction)
Performance Evaluation: 50% of all requests will not experience any extra latency For other 50%, increase from 11% to 39%
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