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High Throughput Computing (HTC) platforms aggregate heterogeneous resources to provide vast amounts of computing power over a long period of time. Typical HTC systems, such as Condor and BOINC, rely on central managers for resource discovery and scheduling. While this approach simplifies deployment, it requires careful system configuration and management to ensure high availability and scalability. In this paper, the authors present a novel approach that integrates a self-organizing P2P overlay for scalable and timely discovery of resources with unmodified client/server job scheduling middleware in order to create HTC virtual resource Pools on Demand (PonD).
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