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

Authors:
Eun-Ha Song;Laurence T. Yang;Sung-Kook Han;Young-Sik Jeong
Affiliations:
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;Department of Computer Engineering, Wonkwang University, Iksan, Korea
Venue:
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
Year:
2007

Citing 5
Cited 0

Automatic node selection for high performance applications on networks

Proceedings of the seventh ACM SIGPLAN symposium on Principles and practice of parallel programming
Architectural Models for Resource Management in the Grid

GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
An Infrastructure for Monitoring and Management in Computational Grids

LCR '00 Selected Papers from the 5th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computers
The Anatomy of the Grid: Enabling Scalable Virtual Organizations

International Journal of High Performance Computing Applications
Hierarchical and dynamic information management framework on grid computing

EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing

Quantified Score

Hi-index	0.00

Visualization

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.