Themis: energy efficient management of workloads in virtualized data centers

  • Authors:
  • Gaurav Dhiman;Vasileios Kontorinis;Raid Ayoub;Liuyi Zhang;Chris Sadler;Dean Tullsen;Tajana Simunic Rosing

  • Affiliations:
  • UCSD;UCSD;UCSD;UCSD;Google;UCSD;UCSD

  • Venue:
  • Euro-Par'12 Proceedings of the 18th international conference on Parallel processing workshops
  • Year:
  • 2012

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Abstract

Virtualized data centers facilitate higher resource utilization and energy efficiency through consolidation. However, mixing services-oriented workloads with throughput (batch) jobs is typically avoided due to complex interactions and widely different quality of service (QoS) requirements. We introduce a complete VM resource management framework, called Themis, which manages combined services and batch jobs, maximizing energy-efficient throughput of the latter without sacrificing the service guarantees of the former. Themis' resource management policy outperforms the prior proposed policies by up to 35% on average in work done per Joule when measured on a data center testbed.