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In this paper, a novel design space exploration approach is proposed that enables a concurrent optimization of the topology, the process binding, and the communication routing of a system. Given an application model written in SystemC TLM 2.0, the proposed approach performs a fully automatic optimization by a simultaneous resource allocation, task binding, data mapping, and transaction routing for...
We analyze the performance of the randomized multiple- choice allocation process in the fixed density model. We show that the allocation process leads to O(log log n) expected maximal bin load when Theta(n) balls are allocated into n bins, where each ball is inserted into the less loaded bin among two bins chosen independently and according to two fixed but possibly different bounded probability densities...
Today a growing number of applications that operate in dynamic environments use distributed systems. Often, one or more constrained resources need to be allocated across such systems. In addition, for a number of important applications, the resources to be allocated are discrete quantities and the demand profile is intrinsically location and time dependent (thus pre-computating the resource allocation...
We investigate the problem of resource allocation in heterogeneous networks of computational resources. We provide an explicit analytical solution for a situation where the computational environment can be described by M/M/l queueing theory. We illustrate the quality of our solution by comparing results with those obtained via a simple ad hoc resource allocation in large heterogeneous networks consisting...
In this paper, we introduce a pricing model that ensures efficient resource allocation that provides guaranteed quality of service while maximizing profit in multiservice networks. Specifically, a dynamic allocation policy is examined that relies on online measurements while each service class operates under a probabilistic bound delay constraint. We present a rigorous analysis of the properties of...
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