15 research outputs found

    Reliable message delivery for mobile agents : push or pull?

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    Internet and Mobile Computing Laboratory, Department of Computing2004-2005 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

    An Adaptive Parallel Pipeline Pattern for Grids

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    This paper introduces an adaptive parallel pipeline pattern which follows the GRASP (grid-adaptive structured parallelism) methodology. GRASP is a generic methodology to incorporate structural information at compile time into a parallel program that enables it to adapt automatically to dynamic variations in resource performance. GRASP instruments the pipeline with a series of pragmatic rules, which depend on particular performance thresholds based on the computation/communication patterns of the program and the availability of resources in the grid. Our parallel pipeline pattern is implemented as a parameterisable C/MPI API using a variable-size input data vector and a stage function array. We have evaluated its efficiency using a numerical benchmark stage function in a non-dedicated computational grid environment

    Efficient Passive Clustering and Gateways selection MANETs

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    Passive clustering does not employ control packets to collect topological information in ad hoc networks. In our proposal, we avoid making frequent changes in cluster architecture due to repeated election and re-election of cluster heads and gateways. Our primary objective has been to make Passive Clustering more practical by employing optimal number of gateways and reduce the number of rebroadcast packets

    Evaluating the Performance of Skeleton-Based High Level Parallel Programs

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    We show in this paper how to evaluate the performance of skeleton-based high level parallel programs. Since many applications follow some commonly used algorithmic skeletons, we identify such skeletons and model them with process algebra in order to get relevant information about the performance of the application, and be able to take some "good" scheduling decisions. This concept is illustrated through the case study of the Pipeline skeleton, and a tool which generates automatically a set of models and solves them is presented. Some numerical results are provided, proving the efficiency of this approach
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