NDLI: Packing the most onto your cloud

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Packing the most onto your cloud

Content Provider	ACM Digital Library
Author	Aboulnaga, Ashraf Wang, Ziyu Zhang, Zi Ye
Abstract	Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to automatically optimize the performance of these frameworks. In this paper, we deal with one particular optimization problem, namely scheduling sets of Map-Reduce jobs on a cluster of machines. We present a scheduler that takes job characteristics into account and finds a schedule that minimizes the total completion time of the set of jobs. Our scheduler decides on the number of machines to assign to each job, and it tries to pack as many jobs on the machines as the machine resources can support. To enable flexible assignment of jobs onto machines, we run the Map-Reduce jobs in virtual machines. Our scheduling problem is formulated as a constrained optimization problem, and we experimentally demonstrate using the Hadoop open source Map-Reduce implementation that the solution to this problem results in benefits up to 30%.
Starting Page	25
Ending Page	28
Page Count	4
File Format	PDF
ISBN	9781605588025
DOI	10.1145/1651263.1651268
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-11-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Hadoop Performance modeling Scheduling Virtual machines
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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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