Department: Computer Science & Engineering
Research Institute Affiliation: Center for Networked Systems (CNS)
Faculty Advisor(s): Tajana Simunic-Rosing

Primary Student
Name: Liuyi Zhang
Email: liz004@ucsd.edu
Phone: 858-534-9892
Grad Year: 2012

Student Collaborators
Gaurav Dhiman, gaurav.dhiman@gmail.com | Vasileios Kontorinis, bkontorinis@gmail.com

Virtualized data centers facilitate higher resource utilization and energy efficiency through consolidation. However, mixing services-oriented workloads with throughput (batch) workloads is typically avoided due to complex interactions and widely different quality of service (QoS) requirements. This work demonstrates that consolidating these diverse workloads provides significant opportunity for improved energy efficiency as each tends to stress different aspects of the host hardware. It provides a new unified metric, qMIPS/Watt, which quantifies the combined efficiency in terms of work done per Joule of the heterogeneous workload combination. It describes 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 is implemented on a testbed of state of the art server machines, and its resource management policy outperforms prior proposed policies by up to 35% on average in work done per Joule.

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