Reconfiguration of information management framework based on adaptive grid computing

Authors:
Eun-Ha Song;Sung-Kook Han;Laurence T. Yang;Young-Sik Jeong
Affiliations:
Department of Computer Engineering, Wonkwang University, Iksan, Korea;Department of Computer Engineering, Wonkwang University, Iksan, Korea;Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada;Department of Computer Engineering, Wonkwang University, Iksan, Korea
Venue:
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
Year:
2006

Citing 6
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Abstract

In this paper, GridIMF provides the users with consistency while adapting to variability grid information. GridIMF designs hierarchical 3-tier information management model in accordance with participating intention, roles and operating strategies of grid information. In order to manage grid information in effective ways, GridIMF provides grid service while dividing to GVMS and GRMS. GVMS suggests optimal virtual organization selection mechanism for improving performance of specific applications and LRM auto-recovery strategy that treat faults of virtual organization. GRMS supports adaptive performance-based task allocation method for load balancing and fault tolerance. State monitoring and visualization view provides adaptability of managing grid information. Application proxy removes inter-dependency between service objects of GridIMF and application objects. For analyzing GridIMF executability, it adapts two fractal image processing those characteristics are different.