Abstract
Data centers are nowadays ubiquitous and have become a commonplace computing platform for corporations as well as individuals, providing a diverse array of services. Data centers may be universal and prevalent, but so are their administrative challenges that include how to best use them, as well as how to optimize their power and cooling costs. The sheer diversity of customer demands (e.g., one may expect very different needs and performance expectations between individual users of cloud-based data centers versus corporate customers) make data center administration challenging and without clear solutions. Studying the workload that typical data centers experience can provide many useful insights for the better usage of data centers, for the design of autonomic management policies for various resources, even for more efficient power and/or cooling management policies.
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Notes
- 1.
Each enterprise uses different number of servers, with the majority of them using more than 130 servers, which unfortunately results in an illegible heat map.
References
M. Al-Fares, A. Loukissas, and A. Vahdat. A scalable, commodity data center network architecture. In SIGCOMM, pages 63–74, 2008.
T. Benson, A. Akella, and D. A. Maltz. Network traffic characteristics of data centers in the wild. In IMC, pages 267–280, 2010.
R. Birke, L. Y. Chen, and E. Smirni. Data centers in the cloud: A large scale performance study. In IEEE CLOUD, pages 336–343, 2012.
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, pages 337–350, 2008.
Y. Chen, A. Das, W. Qin, A. Sivasubramaniam, Q. Wang, and N. Gautam. Managing server energy and operational costs in hosting centers. In SIGMETRICS, pages 303–314, 2005.
N. El-Sayed, I. A. Stefanovici, G. Amvrosiadis, A. A. Hwang, and B. Schroeder. Temperature management in data centers: why some (might) like it hot. In SIGMETRICS, pages 163–174, 2012.
S. Govindan, J. Choi, B. Urgaonkar, A. Sivasubramaniam, and A. Baldini. Statistical profiling-based techniques for effective power provisioning in data centers. In EuroSys, pages 317–330, 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 SIGCOMM, pages 75–86, 2008.
D. Halperin, S. Kandula, J. Padhye, P. Bahl, and D. Wetherall. Augmenting data center networks with multi-gigabit wireless links. In SIGCOMM, pages 38–49, 2011.
B. Heller, S. Seetharaman, P. Mahadevan, Y. Yiakoumis, P. Sharma, S. Banerjee, and N. McKeown. Elastictree: Saving energy in data center networks. In NSDI, pages 249–264, 2010.
M. Kutare, G. Eisenhauer, C. Wang, K. Schwan, V. Talwar, and M. W. Matthew. Monalytics: online monitoring and analytics for managing large scale data centers. In ICAC, pages 141–150, 2010.
R. Singh, U. Sharma, E. Cecchet, and P. Shenoy. Autonomic mix-aware provisioning for non-stationary data center workloads. In ICAC, pages 21–30, 2010.
X. Zhu, D. Young, B. J. Watson, Z. Wang, J. Rolia, S. Singhal, B. McKee, C. Hyser, D. Gmach, R. Gardner, T. Christian, and L. Cherkasova. 1000 islands: an integrated approach to resource management for virtualized data centers. Cluster Computing, 12(1):45–57, 2009.
Acknowledgments
This paper with the title “Usage Patterns in Multi-Tenant Data Centers: a Temporal Perspective”, appeared in the Proceedings of International conference on Autonomic Computing i(ICAC) 2012, San Jose, CA, September 2012, pp. 161–166.
We thank Nishi Gupta for granting us access to the data and share our insights with the scientific community. Part of this work has been done while Evgenia Smirni was on sabbatical leave at IBM Research, Zurich Lab. Evgenia Smirni is partially supported by NSF grants CCF-0937925 and CCF-1218758.
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Birke, R., Chen, L., Smirni, E. (2015). Usage Patterns in Multi-tenant Data Centers: a Large-Case Field Study. In: Khan, S., Zomaya, A. (eds) Handbook on Data Centers. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2092-1_43
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