Performance evaluation of 3-hierarchical resource management model with grid service architecture

Eun Ha Song, Laurence T. Yang, Sung Kook Han, Young Sik Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper constructs a 3-hierarchical resource management model (3-HRMM) in order to adapt to variability of grid resources. We propose resource brokering strategy and adaptive performance task allocation algorithm on 3-HRMM. Resource brokering strategy improves performance through brokering of the application and LRM(Local Resource Manager), a component of 3-HRMM, by performance index and resolves a fault caused by virtual organization by using LRM virtual observer. Under performance evaluation through real-time resource monitoring, adaptive performance task allocation algorithm supports load balancing and fault tolerance. This paper proves feasibility of grid service through the implementation of 3-hierarchical resource management model(3-HRMM), and it shows some results of performance evaluation based on its by using two applications such as image rendering and fractal image processing.

Original languageEnglish
Title of host publicationUbiquitous Intelligence and Computing - 4th International Conference, UIC 2007, Proceedings
PublisherSpringer Verlag
Pages973-982
Number of pages10
ISBN (Print)9783540735489
DOIs
StatePublished - 2007
Event4th International Conference on Ubiquitous Intelligence and Computing: Building Smart Worlds in Real and Cyber Spaces, UIC 2007 - Hong Kong, Hong Kong
Duration: 11 Jul 200713 Jul 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4611 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Ubiquitous Intelligence and Computing: Building Smart Worlds in Real and Cyber Spaces, UIC 2007
Country/TerritoryHong Kong
CityHong Kong
Period11/07/0713/07/07

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