Resource Management typically breaks down into either
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a) Scheduling of largely independent jobs
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b) Optimized data placement in a data parallel entity
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So a) is all at middle tier and should use commodity solutions -- there are many queuing systems such as Condor, Codine, LSF which we can "wrap" and Microsoft does not yet have a fully scalable commodity solution
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Enterprise computing has Transaction Monitors
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So it is still embryonic but we suggest adopting the HLA/RTI framework as this supports job placement, interdependencies (time management) and hierarchical systems of federations --> federates
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Optimized data placement has been largely solved as a mathematical problem by HPCC but not packaged broadly. Our suggestion suggests how to invoke as backend support for a commodity service
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