Optimizing Cloud Resource Allocation in Federated Environments through Outsourcing Strategies

Arash Mazidi
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Abstract

Cloud computing enables users to access required resources, with the invention of high-end devices leading to exponential increases in cloud resource requests. This poses significant challenges for resource management due to the scale of the cloud and unpredictable user demands. This paper presents an approach to managing resources during peak request periods for virtual machines (VMs) by leveraging cloud federation, outsourcing requests to other federation members. An algorithm is proposed to initiate cloud federation and allocate customer requests within it. The primary objectives are to increase the profit of cloud providers and improve resource utilization. An ensemble algorithm maximizes profit using both the proposed algorithm and three established ones. Experimental results demonstrate that our method outperforms existing approaches in profit, resource utilization, and rejected requests in most scenarios.
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通过外包策略优化联盟环境中的云资源分配
云计算使用户能够访问所需资源,而高端设备的发明导致云资源请求呈指数级增长。由于云的规模和不可预测的用户需求,这给资源管理带来了巨大挑战。本文提出了一种在虚拟机(VM)请求高峰期管理资源的方法,即利用云联盟,将请求外包给其他联盟成员。本文提出了一种启动云联盟并在其中分配客户请求的算法。主要目标是增加云提供商的利润并提高资源利用率。一种集合算法利用所提出的算法和三种现有算法实现利润最大化。实验结果表明,在大多数情况下,我们的方法在利润、资源利用率和拒绝请求方面都优于现有方法。
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