SC12 Home > SC12 Schedule > SC12 Presentation - Virtual Machine Packing Algorithms for Lower Power Consumption

SCHEDULE: NOV 10-16, 2012

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Virtual Machine Packing Algorithms for Lower Power Consumption

SESSION: Research Poster Reception

EVENT TYPE: Posters and Electronic Posters

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Torsten Hoefler

AUTHOR(S):Satoshi Takahashi

ROOM:East Entrance

ABSTRACT:
VM (Virtual Machine)-based flexible capacity management is an effective scheme to reduce total power consumption in the data center. However, there have been the following issues, tradeoff of power-saving and user experience, decision of VM packing in feasible calculation time and collision avoidance of VM migration processes. In order to resolve these issues, we propose a matching-based and a greedy-type VM packing algorithm, which enables to decide a suitable VM packing plan in polynomial time. The experiments evaluate not only a basic performance, but also a feasibility of the algorithms by comparing with optimization solvers. The feasibility experiment uses a super computer trace data prepared by Center for Computational Sciences of University of Tsukuba. The basic performance experiment shows that the algorithms reduce total power consumption by between 18% and 50%.

Chair/Author Details:

Torsten Hoefler (Chair) - ETH Zurich

Satoshi Takahashi - University of Tsukuba

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Virtual Machine Packing Algorithms for Lower Power Consumption

SESSION: Research Poster Reception

EVENT TYPE:

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Torsten Hoefler

AUTHOR(S):Satoshi Takahashi

ROOM:East Entrance

ABSTRACT:
VM (Virtual Machine)-based flexible capacity management is an effective scheme to reduce total power consumption in the data center. However, there have been the following issues, tradeoff of power-saving and user experience, decision of VM packing in feasible calculation time and collision avoidance of VM migration processes. In order to resolve these issues, we propose a matching-based and a greedy-type VM packing algorithm, which enables to decide a suitable VM packing plan in polynomial time. The experiments evaluate not only a basic performance, but also a feasibility of the algorithms by comparing with optimization solvers. The feasibility experiment uses a super computer trace data prepared by Center for Computational Sciences of University of Tsukuba. The basic performance experiment shows that the algorithms reduce total power consumption by between 18% and 50%.

Chair/Author Details:

Torsten Hoefler (Chair) - ETH Zurich

Satoshi Takahashi - University of Tsukuba

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar