Energy saving algorithms for workflow scheduling in cloud computing

被引：8
|
作者：
Watanabe, Elaine N. [1 ]
Campos, Pedro P. V. [1 ]
Braghetto, Kelly R. [1 ]
Batista, Daniel M. [1 ]
机构：
[1] Univ Sao Paulo, Dept Comp Sci, BR-05508090 Sao Paulo, Brazil
来源：
2014 BRAZILIAN SYMPOSIUM ON COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS (SBRC) | 2014年
关键词：
cloud computing; green computing; workflow scheduling;
D O I：
10.1109/SBRC.2014.2
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Cloud computing is one of the platforms able to provide green computing solutions nowadays. Moreover, it is able to provide a high performance environment for scientific applications. However, if there is dependency between tasks, there may be a low utilization of the cloud. To address the problem, this paper presents new task schedulers for clouds aiming to achieve energy savings. Results of experiments comparing the proposed schedulers with other existing ones show that it is possible to obtain energy savings of up to 22.7%, with no penalty in the makespan. Moreover it is observed that the efficiency of the scheduling is dependent on how tasks are interconnected in the workflow.
引用
收藏
页码：9 / 16
页数：8
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