NDLI: SLA-based energy aware scheduling of precedence-constrained applications on DVFS-enabled clusters

Content Provider	IEEE Xplore Digital Library
Author	Xuedi Chen Kenli Li Chubo Liu Keqin Li
Copyright Year	2014
Description	Author affiliation: Coll. of Comput. Sci. & Electron. Eng., Hunan Univ., Changsha, China (Xuedi Chen; Kenli Li; Chubo Liu; Keqin Li)
Abstract	The energy aware scheduling problem has been a critical issue in high-performance clusters owing to their high operation cost, environmental impact, and low reliability. An existing technique to reduce energy consumption of applications is dynamic voltage/frequency scaling (DVFS). In this paper, we develop an energy aware scheduling algorithm called EASLA for precedence-constrained applications in the context of Service Level Agreement (SLA) on DVFS-enabled cluster systems. Due to the dependencies among tasks and makespan extension, there may be some slacks under used. The main idea of the EASLA algorithm is to distribute each slack to a set of tasks and scale frequencies down to try to minimize energy consumption. Specifically, it first finds the maximum set of independent tasks for each task, and then iteratively allocates each slack to the maximum independent set whose total energy reduction is the maximal. Randomly generated graphs and two real-world applications are tested in our experiments. The experimental results show that our scheduling algorithm can save up to 22.68% and 12.01% energy consumption compared with GreedyDVS and EvenlyDVS algorithms, respectively.
Sponsorship	IEEE Comput. Soc.
Starting Page	336
Ending Page	343
File Size	522827
Page Count	8
File Format	PDF
ISBN	9781479976157
DOI	10.1109/PADSW.2014.7097826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-16
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Scheduling Computational modeling Schedules Algorithm design and analysis Radio spectrum management Processor scheduling Service Level Agreement Cluster Computing Dynamic Voltage/Frequency Scaling DAG Energy Aware Scheduling
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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