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Author Brocco, A. ♦ Malatras, A. ♦ Ye Huang ♦ Hirsbrunner, B.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Protocols ♦ Resource management ♦ Scalability ♦ Peer to peer computing ♦ Grid computing ♦ Processor scheduling ♦ Dynamic scheduling ♦ Availability ♦ Large-scale systems ♦ Costs ♦ Distributed Systems ♦ Grid Computing ♦ Scheduling ♦ Self-Organization ♦ Network Protocol
Abstract Critical to the successful deployment of grid systems is their ability to guarantee efficient meta-scheduling, namely optimal allocation of jobs across a pool of sites with diverse local scheduling policies. The centralized nature of current meta-scheduling solutions is not well suited for the envisioned increasing scale and dynamicity of next-generation grids, the success of which relies on the development of fully distributed, flexible and autonomic systems tailored to very large sets of highly volatile and heterogeneous resources. In this respect, we introduce a fully distributed grid meta-scheduling scheme that effectively addresses the concerns regarding the scalability and adaptability of future grid systems. Our approach employs a lightweight protocol, called A RiA, that is based on peer-to-peer communication between grid nodes, and makes use of dynamic rescheduling to consider and adapt to changes in the availability of resources. Extensive evaluation by means of an in depth simulation study highlighted the effectiveness of the proposed solution in improving the overall performance in terms of job completion time and load-balancing.
ISBN 9781424472611
ISSN 10636927
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-06-21
Publisher Place Italy
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424472628
Size (in Bytes) 1.16 MB
Page Count 10
Starting Page 86
Ending Page 95


Source: IEEE Xplore Digital Library