A Stochastic Task Scheduling Algorithm Based on Importance-ratio of Makespan to Energy for Heterogeneous Parallel Systems

In the past years, most task scheduling algorithms consider either to minimize the application's completion time or to minimize the application's energy consumption subject to a deadline constraint. Few of them can achieve these two performance goals at the same time. In this paper, we pro...

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Vydané v:	2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems s. 390 - 396
Hlavní autori:	Yuqing Yang, Xinqiao Lu, Hai Jin, Xiaofei Liao
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2015
Predmet:	Approximation algorithms Energy consumption Heterogeneous parallel system Heuristic algorithms importance-ratio makespan Program processors Scheduling Scheduling algorithms stochastic tasks system weighted improvement
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