NDLI: Load balancing for processing spatio-temporal queries in multi-core settings

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Content Provider	ACM Digital Library
Author	Yaagoub, Anan Trajcevski, Goce Hardavellas, Nikos Scheuermann, Peter
Abstract	We address the problem of efficiently parallelizing the processing of spatio-temporal range queries in multicore settings. Although the data set can be partitioned and assigned to individual cores for processing a collection of range queries, one cannot achieve an "ideal" assignment for all the cores' load. Hence, the cores should collaborate in a dynamic manner: ones that have completed their (sub)tasks should take part of the load from the cores that are still processing some of the data. We provide algorithms and synchronization data structures that achieve such collaborative behavior and we investigate their impact in different initial load-partitioning strategies. Our experiments demonstrate that about 40% speed-up can be gained when compared to static load-partitioning and that the proposed approach scales well.
Starting Page	53
Ending Page	57
Page Count	5
File Format	PDF
ISBN	9781450314428
DOI	10.1145/2258056.2258067
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-05-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Multicore processing Moving objects databases
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
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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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Load balancing for processing spatio-temporal queries in multi-core settings