NDLI: Agent-based grid load balancing using performance-driven task scheduling

Content Provider	IEEE Xplore Digital Library
Author	Junwei Cao Spooner, D.P. Jarvis, S.A. Saini, S. Nudd, G.R.
Copyright Year	2003
Description	Author affiliation: C&C Res. Labs., NEC Eur. Ltd., Sankt Augustin, Germany (Junwei Cao)
Abstract	Load balancing is a key concern when developing parallel and distributed computing applications. The emergence of computational grids extends this problem, where issues of cross-domain and large-scale scheduling must also be considered. In this paper an agent-based grid management infrastructure is coupled with a performance-driven task scheduler that has been developed for local grid load balancing. Each grid scheduler utilises predictive application performance data and an iterative heuristic algorithm to engineer local load balancing across multiple processing nodes. At a higher level, a hierarchy of homogeneous agents are used to represent multiple grid resources. Agents cooperate with each other to balance workload in the global grid environment using service advertisement and discovery mechanisms. A case study is included with corresponding experimental results to demonstrate that both local schedulers and agents contribute to overall grid load balancing, which significantly improves grid application execution performance and resource utilisation.
Sponsorship	IEEE Comput. Soc Tech. Committee on Parallel Process. IEEE Comput. Soc. Tech. Committee on Comput. Archit. IEEE Comput. Soc. Tech. Committee on Distrib. Process. ACM SIGARCH
File Size	333954
File Format	PDF
ISBN	0769519261
ISSN	15302075
DOI	10.1109/IPDPS.2003.1213139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-04-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Load management Processor scheduling Distributed computing Grid computing Large-scale systems Disaster management Heuristic algorithms Iterative algorithms Scheduling algorithm Data engineering
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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