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Multi-user Multi-provider Resource Allocation in Cloud Computing

机译:云计算中的多用户多提供商资源分配

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In a cloud computing environment, cloud service providers offer cloud services to users. How to achieve reasonable and efficient service resource allocation to meet a user's demands is an important problem. Considering a multi-user and multi-provider environment, we propose a service resource allocation framework to optimize an objective function of load and completion time. We design an improved differential evolution algorithm for optimal resource allocation given a batch of multiple tasks. Experimental results show that proposed method can better balance loads among computing resources while achieving better optimized results for the entire system than some existing methods.
机译:在云计算环境中,云服务提供商向用户提供云服务。如何实现合理和高效的服务资源分配,以满足用户的需求是一个重要问题。考虑到多用户和多维提供商环境,我们提出了一种服务资源分配框架,以优化负载和完成时间的客观函数。我们设计了一种改进的差分演进算法,以给定批量多任务的最佳资源分配。实验结果表明,该方法可以更好地平衡计算资源之间的负载,同时为整个系统实现比某些现有方法更好的优化结果。

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