Data Center; Cloud Computing; Performance and Energy Efficiency Metrics
Abstract :
[en] Cloud computing has become a de facto approach for service provisioning over the Internet. It operates relying on a pool of shared computing resources available on demand and usually hosted in data centers. Assessing performance and energy efficiency of data centers becomes fundamental. Industries use a number of metrics to assess efficiency and energy consumption of cloud computing systems, focusing mainly on the efficiency of IT equipment, cooling and power distribution systems. However, none of the existing metrics is precise enough to distinguish and analyze the performance of data center communication systems from IT equipment. This paper proposes a framework of new metrics able to assess performance and energy efficiency of cloud computing communication systems, processes and protocols. The proposed metrics have been evaluated for the most common data center architectures including fat-tree three-tier, BCube and DCell.
Disciplines :
Computer science
Author, co-author :
FIANDRINO, Claudio ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
KLIAZOVICH, Dzmitry ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
BOUVRY, Pascal ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Zomaya, Albert Y.; University of Sydney
External co-authors :
yes
Language :
English
Title :
Performance Metrics for Data Center Communication Systems
Publication date :
June 2015
Event name :
IEEE International Conference on Cloud Computing
Event date :
June 27 - July 2, 2015
Audience :
International
Main work title :
8th IEEE International Conference on Cloud Computing, New York, USA, 2015
Grant Sauls-Falcon Electronics, "Measurement of data centre power consumption, " White Paper.
P. A. Mathew, S. E. Greenberg, S. Ganguly, D. A. Sartor, and W. F. Tschudi, "How does your data center measure up? Energy efficiency metrics and benchmarks for data center infrastructure systems, " HPAC Journal, 2009.
L. Wang and S. U. Khan, "Review of performance metrics for green data centers: A taxonomy study, " The Journal of Supercomputing, vol. 63, no. 3, pp. 639-656, 2013.
M. K. Herrlin, "Airflow and cooling performance of data centers: Two performance metrics. " ASHRAE Transactions, vol. 114, no. 2, pp. 182-187, 2008.
R. Tozer and M. Salim, "Data center air management metricspractical approach, " in 12th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), 2010, pp. 1-8.
The Green Grid, "Data center power efficiency metrics: PUE and DCiE, " 2008, White Paper.
D. Kliazovich, P. Bouvry, F. Granelli, and N. Fonseca, "Energy consumption optimization in cloud data centers, " in Cloud Services, Networking, and Management, edited by N. Fonseca and R. Boutaba, Eds. Wiley-IEEE Press, May 2015.
L. Dignan, "Cloud computing market, " 2011, ZNet.
D. Kliazovich, J. E. Pecero, A. Tchernykh, P. Bouvry, S. U. Khan, and A. Y. Zomaya, "CA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud Computing, " Journal of Grid Computing, 2015.
Cisco, "Cisco Global Cloud Index: Forecast and Methodology, 2012-2017, " 2013, White Paper.
G. Chen, W. He, J. Liu, S. Nath, L. Rigas, L. Xiao, and F. Zhao, "Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services. " in NSDI, vol. 8, 2008, pp. 337-350.
P. Mahadevan, P. Sharma, S. Banerjee, and P. Ranganathan, "A power benchmarking framework for network devices, " in NETWORKING 2009. Springer, 2009, pp. 795-808.
L. Barroso and U. Holzle, "The Case for Energy-Proportional Computing, " Computer, vol. 40, no. 12, pp. 33-37, 2007.
D. Abts, M. R. Marty, P. M. Wells, P. Klausler, and H. Liu, "Energy proportional datacenter networks, " in ACM SIGARCH Computer Architecture News, vol. 38, no. 3, 2010, pp. 338-347.
G. Varsamopoulos and S. K. S. Gupta, "Energy Proportionality and the Future: Metrics and Directions, " in 39th International Conference on Parallel Processing Workshops (ICPPW), 2010, pp. 461-467.
P. Fan, J. Wang, Z. Zheng, and M. Lyu, "Toward Optimal Deployment of Communication-Intensive Cloud Applications, " in IEEE International Conference on Cloud Computing (CLOUD), 2011, pp. 460-467.
M. Al-Fares, A. Loukissas, and A. Vahdat, "A scalable, commodity data center network architecture, " in Proceedings of the ACM SIGCOMM 2008 Conference on Data Communication, 2008, pp. 63-74.
R. Niranjan Mysore, A. Pamboris, N. Farrington, N. Huang, P. Miri, S. Radhakrishnan, V. Subramanya, and A. Vahdat, "PortLand: A scalable fault-tolerant layer 2 data center network fabric, " in ACM SIGCOMM Computer Communication Review, vol. 39, no. 4, 2009, pp. 39-50.
A. Greenberg, J. R. Hamilton, N. Jain, S. Kandula, C. Kim, P. Lahiri, D. A. Maltz, P. Patel, and S. Sengupta, "VL2: A scalable and flexible data center network, " in ACM SIGCOMM Computer Communication Review, vol. 39, no. 4, 2009.
C. Guo, G. Lu, D. Li, H. Wu, X. Zhang, Y. Shi, C. Tian, Y. Zhang, and S. Lu, "BCube: A high performance, servercentric network architecture for modular data centers, " ACM SIGCOMM Computer Communication Review, vol. 39, no. 4, pp. 63-74, 2009.
C. Guo, H. Wu, K. Tan, L. Shi, Y. Zhang, and S. Lu, "DCell: A scalable and fault-tolerant network structure for data centers, " in ACM SIGCOMM Computer Communication Review, vol. 38, no. 4. ACM, 2008, pp. 75-86.
D. Boru, D. Kliazovich, F. Granelli, P. Bouvry, and A. Y. Zomaya, "Energy-Efficient Data Replication in Cloud Computing Datacenters, " Springer Cluster Computing, vol. 18, no. 1, pp. 385-402, 2015.
"Cisco Data Center Infrastructure 2. 5 Design Guide, " 2007, White Paper.
M. Bari, R. Boutaba, R. Esteves, L. Granville, M. Podlesny, M. Rabbani, Q. Zhang, and M. Zhani, "Data center network virtualization: A survey, " Communications Surveys Tutorials, IEEE, vol. 15, no. 2, pp. 909-928, 2013.
"Server power and performance characteristics, " http://www. spec. org/power-ssj2008/.
D. Kliazovich, S. Arzo, F. Granelli, P. Bouvry, and S. Khan, "e-STAB: Energy-efficient scheduling for cloud computing applications with traffic load balancing, " in IEEE International Conference on Green Computing and Communications (GreenCom), 2013.
M. Guzek, D. Kliazovich, and P. Bouvry, "HEROS: Energyefficient load balancing for heterogeneous data centers, " in IEEE International Conference on Cloud Computing (CLOUD), 2015.
