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In this article, we illustrate practical issues arising in the development of efficient implementation of distributed algorithms that solve a general (concave) constrained maximization problem. Such optimizations arise in many situations. One typical example is those of resource allocation in computer networks, where the system aims at maximizing some global function of the users individual throughput...
Multiple applications that execute concurrently on heterogeneous platforms compete for CPU and network resources. In this paper, we consider the problem of scheduling applications to ensure fair and efficient execution on a distributed network of processors. We limit our study to the case where communication is restricted to a tree embedded in the network, and the applications consist of a large number...
Multiple applications that execute concurrently on heterogeneous platforms compete for CPU and network resources. In this paper we analyze the behavior of K non-cooperative schedulers using the optimal strategy that maximize their efficiency while fairness is ensured at a system level ignoring applications characteristics. We limit our study to simple single-level master-worker platforms and to the...
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