Browsing by Author "Trivedi, Rahul"

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    Heterogeneity-Aware Workload Distribution in Donation Based Grids
    (2005-12-28) Trivedi, Rahul; Chandra, Abhishek; Weissman, Jon
    This paper aims to explore the opportunities in porting a highthroughput Grid computing middleware to a high-performance service oriented environment. It exposes the limitations of the Grid computing middleware when operating in such a performance sensitive environment and presents ways of overcoming these limitations. We focus on exploiting the heterogeneity of the Grid resources to meet the performance requirements of services and present several approaches of work distribution to deal with this heterogeneity. We present a heuristic for finding the optimum decomposition of work and present algorithms for each of the approaches which we evaluate on a real live testbed. The results validate the heuristic and compare the performance of the different workload distribution strategies. Our results indicate that a significant improvement in performance can be achieved by making the Grid computing middleware aware of the heterogeneity in the underlying infrastructure. The results also provide some useful insights into deciding a work distribution policy depending on the status of the Grid computing environment.
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    Hosting Services on the Grid: Challenges and Opportunities
    (2005-07-06) Chandra, Abhishek; Trivedi, Rahul; Weissman, Jon
    In this paper, we present the challenges to service hosting on the Grid using a measurement study on a prototype Grid testbed. For this experimental study, we have deployed the bioinformatics service BLAST from NCBI on PlanetLab, a set of widely distributed nodes, managed by the BOINC middleware. Our results indicate that the stateless nature of BOINC presents three major challenges to service hosting on the Grid: the need to deal with substantial computation and communication heterogeneity, the need to handle tight data and computation coupling, and the necessity for handling distinct response-sensitive service requests. We present experimental results that illuminate these challenges and discuss possible remedies to make Grids viable for hosting emerging services.