Thermal-aware task scheduling to minimize energy usage of blade server based datacenters

Tang Qinghui, Sandeep Gupta, Daniel Stanzione, Phil Cayton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

57 Scopus citations

Abstract

Blade severs are being increasingly deployed in modern datacenters due to their high performance/cost ratio and compact size. In this study, we document our work on blade server based datacenter thermal management. Our goal is to minimize the total energy costs (usage) of datacenter operation while providing a reasonable thermal environment for their reliable operation. Due to special characteristics of blade servers, we argue that previously proposed power-oriented schemes are ineffective for blade server-based datacenters and that task-oriented scheduling is a more practicable approach since the contribution to the total energy cost from cooling and computing systems vary according to the utilization rates. CFD simulations are used to evaluate scheduling results of three different task scheduling algorithms: Uniform Outlet Profile (UOP), Minimal Computing Energy (MCE), and Uniform Task (UT), under four different blade-server energy consumption models: DiscreteNonOptimal (DNO), DiscreteOptimal (DO), AnalogNonOptimal (ANO), and AnalogOptimal (AO). Simulation results show that the MCE algorithm, in most cases, results in a minimal total energy cost - a conclusion that differs from the findings of previous research. UOP performs better than UT at low datacenter utilization rates, whereas UT outperforms UOP at high utilization rates.

Original languageEnglish (US)
Title of host publicationProceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006
Pages195-202
Number of pages8
DOIs
StatePublished - Dec 1 2006
Event2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006 - Indianapolis, IN, United States
Duration: Sep 29 2006Oct 1 2006

Publication series

NameProceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006

Other

Other2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006
CountryUnited States
CityIndianapolis, IN
Period9/29/0610/1/06

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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    Qinghui, T., Gupta, S., Stanzione, D., & Cayton, P. (2006). Thermal-aware task scheduling to minimize energy usage of blade server based datacenters. In Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006 (pp. 195-202). [4030883] (Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006). https://doi.org/10.1109/DASC.2006.47