The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Shares and utilities based power consolidation in virtualized server environments
Abstract
Virtualization technologies like VMware and Xen provide features to specify the minimum and maximum amount of resources that can be allocated to a virtual machine (VM) and a shares based mechanism for the hypervisor to distribute spare resources among contending VMs. However much of the existing work on VM placement and power consolidation in data centers fails to take advantage of these features. One of our experiments on a real testbed shows that leveraging such features can improve the overall utility of the data center by 47% or even higher. Motivated by these, we present a novel suite of techniques for placement and power consolidation of VMs in data centers taking advantage of the min-max and shares features inherent in virtualization technologies. Our techniques provide a smooth mechanism for power-performance tradeoffs in modern data centers running heterogeneous applications, wherein the amount of resources allocated to a VM can be adjusted based on available resources, power costs, and application utilities. We evaluate our techniques on a range of large synthetic data center setups and a small real data center testbed comprising of VMware ESX servers. Our experiments confirm the end-to-end validity of our approach and demonstrate that our final candidate algorithm, PowerExpandMinMax, consistently yields the best overall utility across a broad spectrum of inputs - varying VM sizes and utilities, varying server capacities and varying power costs - thus providing a practical solution for administrators.
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Citations
Cites
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Xen and the art of virtualization
Barham, P., Dragovic, B., Fraser, K., Hand, S., Harris, T., Ho, A., & Neugebauer, R. (2003) · Proceedings of the nineteenth ACM symposium on Operating systems principles - SOSP '03 · doi:10.1145/945461.945462 · Cited by 1,552
Black-box and gray-box strategies for virtual machine migration
Wood, T., Shenoy, P. J., Venkataramani, A., et al. (2007) · Cited by 824
Dynamic Placement of Virtual Machines for Managing SLA Violations
Bobroff, N., Kochut, A., & Beaty, K. (2007) · 2007 10th IFIP/IEEE International Symposium on Integrated Network Management · doi:10.1109/inm.2007.374776 · Cited by 808
pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems
Verma, A., Ahuja, P., & Neogi, A. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-89856-6_13 · Cited by 649
No "power" struggles: coordinated multi-level power management for the data center
Raghavendra, R., Ranganathan, P., Talwar, V., Wang, Z., & Zhu, X. (2008) · Proceedings of the 13th international conference on Architectural support for programming languages and operating systems · doi:10.1145/1346281.1346289 · Cited by 619
Managing server energy and operational costs in hosting centers
Chen, Y., Das, A., Qin, W., Sivasubramaniam, A., Wang, Q., & Gautam, N. (2005) · Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems · doi:10.1145/1064212.1064253 · Cited by 556
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The Case for Power Management in Web Servers
Bohrer, P., Elnozahy, E. N., Keller, T., Kistler, M., Lefurgy, C., McDowell, C., & Rajamony, R. (2002) · Series in Computer Science · doi:10.1007/978-1-4757-6217-4_14 · Cited by 331
Server-storage virtualization: Integration and load balancing in data centers
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Self-citation
Cited by
Beloglazov, A., Abawajy, J., & Buyya, R. (2012) · Future Generation Computer Systems · doi:10.1016/j.future.2011.04.017 · Cited by 2,761
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
Beloglazov, A., Buyya, R., Lee, Y. C., & Zomaya, A. (2011) · Advances in Computers · doi:10.1016/b978-0-12-385512-1.00003-7 · Cited by 777
Energy Efficient Resource Management in Virtualized Cloud Data Centers
Beloglazov, A., & Buyya, R. (2010) · 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing · doi:10.1109/ccgrid.2010.46 · Cited by 760
Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting
Roy, N., Dubey, A., & Gokhale, A. (2011) · 2011 IEEE 4th International Conference on Cloud Computing · doi:10.1109/cloud.2011.42 · Cited by 591
Resource Management in Clouds: Survey and Research Challenges
Jennings, B., & Stadler, R. (2015) · Journal of Network and Systems Management · doi:10.1007/s10922-014-9307-7 · Cited by 548
Metadata
- Authors
- Cardosa, M., Korupolu, M. R., & Singh, A.
- Venue
- 2009 IFIP/IEEE International Symposium on Integrated Network Management
- Publisher
- IEEE
- Published
- 2009-06
- Pages
- 327-334
- OpenAlex
- W2071128130
- Cited by
- 262
- References
- 15
- FWCI
- 15.94
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Cardosa, M., Korupolu, M. R., & Singh, A. (2009). Shares and utilities based power consolidation in virtualized server environments. 2009 IFIP/IEEE International Symposium on Integrated Network Management. https://doi.org/10.1109/inm.2009.5188832
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