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We propose a game theoretical approach to multi-type fair resource allocation algorithms in a distributed heterogeneous environment. Distributed approaches can benefit large scale computing systems, especially if the hardware computing resources in the system are organized in a decentralized manner as in federated clusters and cyber physical systems. The(More)
We study multi-type resource allocation in multi-agent system, where some constraints are enforced upon resource providers and users. These constraints are limitations of resource types and connection availabilities, which may make the collaboration between agents infeasible. We discuss the notion of distributed resource fairness under these constraints.(More)
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