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Today's e-Infrastructures are deployed to enable easy and secure access to heterogeneous resources (e.g., instrument, computing and storage elements) by exploiting cloud and grid technologies. Since e-Science applications are usually characterized by huge data transfers, user interactivity and high computational loads, the selection and allocation of cloud or grid resources dramatically affect their performance. Starting from a previous work by the same authors, this paper proposes a new distributed resource allocation algorithm, referred to as MRA3DH, capable of handling multiple resource requirements for jobs/tasks that arrive to the computing environment of the e-Infrastructure.
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