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2014 Sixth International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) (2014)
Beijing, China
July 13, 2014 to July 15, 2014
ISSN: 2168-3034
ISBN: 978-1-4799-3844-5
pp: 255-261
ABSTRACT
The explosive growth of energy consumption in cloud centers has become a critical issue, for going against the advocated green computing, many works focus the tasks scheduling for reducing energy dissipation. In order to obtain more energy reduction as well as maintaining the quality of service by meeting the deadlines, this paper proposes a DVFS-enabled efficient energy workflow task scheduling algorithm: DEWTS. Through merging the relatively inefficient processors byreclaiming the slack time, DEWTS can take advantage of the useful slack time once again employing DVFS technique after severs merged. Based on amount of randomly generated DAGs workflows, the experimental results show that DEWTS can reduce the total power consumption with various parallel applications as well as balancing the scheduling erformance.
INDEX TERMS
Program processors, Processor scheduling, Energy consumption, Algorithm design and analysis, Heuristic algorithms, Merging, Schedules,cloud computing, energy scheduling, dynamic voltage, frequency scaling, heterogeneous
CITATION
Zhuo Tang, Zhenzhen Cheng, Kenli Li, Keqin Li, "An Efficient Energy Scheduling Algorithm for Workflow Tasks in Hybrids and DVFS-Enabled Cloud Environment", 2014 Sixth International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), vol. 00, no. , pp. 255-261, 2014, doi:10.1109/PAAP.2014.33
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