Enhanced Energy-Efficient Scheduling for Parallel Tasks Using Partial Optimal Slacking

Abstract

Journal Article Enhanced Energy-Efficient Scheduling for Parallel Tasks Using Partial Optimal Slacking Get access Sen Su, Sen Su * State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China *Corresponding author: susen@bupt.edu.cn Search for other works by this author on: Oxford Academic Google Scholar Qingjia Huang, Qingjia Huang State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China Search for other works by this author on: Oxford Academic Google Scholar Jian Li, Jian Li State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China Search for other works by this author on: Oxford Academic Google Scholar Xiang Cheng, Xiang Cheng State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China Search for other works by this author on: Oxford Academic Google Scholar Peng Xu, Peng Xu State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China Search for other works by this author on: Oxford Academic Google Scholar Kai Shuang Kai Shuang State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China Search for other works by this author on: Oxford Academic Google Scholar The Computer Journal, Volume 58, Issue 2, February 2015, Pages 246–257, https://doi.org/10.1093/comjnl/bxu002 Published: 06 February 2014 Article history Received: 07 May 2013 Revision received: 04 January 2014 Published: 06 February 2014