Towards a Next Generation Distributed Middleware System for Many-Task Computing

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Data Management
Format: PDF
Distributed computing systems have evolved over decades to support various types of scientific applications and overall computing paradigms have been categorized into HTC (High-Throughput Computing) to support bags of tasks which are usually long running, HPC (High-Performance Computing) for processing tightly-coupled communication-intensive tasks on top of dedicated clusters of workstations or supercomputers, and data-intensive computing leveraging distributed storage systems and parallel processing frameworks. Many-Task Computing (MTC) aims to bridge the gap between traditional HTC and HPC by building efficient middleware systems throughout employing lightweight task dispatching mechanisms, minimizing data movements, leveraging data-aware scheduling, and proposing of next generation exascale storage systems.
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