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

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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. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Song, E. H., Yang, L. T., Han, S. K., & Jeong, Y. S. (2007). Performance evaluation of 3-hierarchical resource management model with grid service architecture. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4611 LNCS, pp. 973–982). Springer Verlag. https://doi.org/10.1007/978-3-540-73549-6_95

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