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Negotiating service level agreements (SLAs) between cloud consumers and service providers is a key aspect of highly automated cloud systems. However, this process needs to be optimized to reduce the time of negotiation and the quality of solutions. In this paper, a parallel implementation of the particle swarm optimization (PSO) technique is proposed to improve the SLA negotiation in cloud computing...
Task scheduling in data centers is a complex task due to their evolution in size, complexity, and performance. At the same time, customers’ requirements have become more sophisticated in terms of execution time and throughput. Against this background, this work presents a new model of resource allocation that optimizes task scheduling using a multi-objective optimization (MOO) and particle swarm optimization...
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