BiTEM: A two-tier energy efficient resource management framework for real-time tasks in clusters

Wei Huang, Jin Shi, Zhen Wang, Zhuzhong Qian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Energy saving is a fundamental issue for clusters because huge energy consumption has profound impact on operating cost, system reliability and environment. Therefore, many techniques have been proposed to reduce energy consumption, among which, Dynamic Frequency and Voltage Scaling (DVFS) is recognized as an efficient technique. To save energy for DVFS-enabled clusters where independent real-time tasks are executed, we propose BiTEM which is a cooperative two-tier energy efficient management method including local DVFS control and global task scheduling. By using this method, the DVFS controller adjusts the frequencies of homogenous processors in each server at runtime based on the practical energy prediction. On the other hand, global scheduler assigns incoming tasks onto suitable processors on the designate servers based on the cooperation with the local DVFS controller. Each local DVFS controller responses minimum energy changes to the global scheduler to assist it in assigning tasks. The final evaluation results demonstrate the effectiveness of BiTEM on energy saving.

Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing - 15th International Conference, ICA3PP 2015, Proceedings
EditorsAlbert Zomaya, Kenli Li, Gregorio Martinez Perez, Guojun Wang
PublisherSpringer Verlag
Pages494-508
Number of pages15
ISBN (Print)9783319271217
DOIs
StatePublished - 2015
Externally publishedYes
Event15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015 - Zhangjiajie, China
Duration: 18 Nov 201520 Nov 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9529
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015
Country/TerritoryChina
CityZhangjiajie
Period18/11/1520/11/15

Keywords

  • Datacenter
  • DVFS
  • Energy aware
  • Energy prediction
  • Task scheduling

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