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Latency Hiding in Dynamic Partitioning and Load Balancing of Grid Computing ApplicationsThe Information Power Grid (IPG) concept developed by NASA is aimed to provide a metacomputing platform for large-scale distributed computations, by hiding the intricacies of highly heterogeneous environment and yet maintaining adequate security. In this paper, we propose a latency-tolerant partitioning scheme that dynamically balances processor workloads on the.IPG, and minimizes data movement and runtime communication. By simulating an unsteady adaptive mesh application on a wide area network, we study the performance of our load balancer under the Globus environment. The number of IPG nodes, the number of processors per node, and the interconnected speeds are parameterized to derive conditions under which the IPG would be suitable for parallel distributed processing of such applications. Experimental results demonstrate that effective solution are achieved when the IPG nodes are connected by a high-speed asynchronous interconnection network.
Document ID
20010097735
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Das, Sajal K. (Texas Univ. Arlington, TX United States)
Harvey, Daniel J. (Texas Univ. Arlington, TX United States)
Biswas, Rupak (NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
September 7, 2013
Publication Date
January 3, 2001
Subject Category
Computer Programming And Software
Meeting Information
Meeting: CCGrid Conference
Location: Brisbane
Country: Australia
Start Date: May 15, 2001
End Date: May 18, 2001
Funding Number(s)
PROJECT: RTOP 725-10-31
CONTRACT_GRANT: NCC2-5393
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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