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Research on Improved 2D-BPSO-based VM-Container Hybrid Hierarchical Cloud Resource Scheduling Mechanism

机译:基于2D-BPSO的VM集装箱混合分层云资源调度机制的研究

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With the increasing growth of applications deployed to the cloud computing platform, cloud providers have made a higher request for cloud resource utilization efficiency, but there is bottlenecks in cloud service provisioning base on VM. Against these problems, we proposed a VM-Container hybrid hierarchical resource scheduling mechanism which classified tasks into different levels according to the comprehensive of virtualization type and scheduling state. By using the characters of lightweight and easy to migrate, we formulate the initial scheduling strategy for tasks in different levels and design the combination optimization scheme when there is a migration of allocated task. We optimized the scheduling problem with PSO, and expand the traditional 1D-PSO to 2D-PSO and give a general formulation of nD-PSO for further, we proposed a binaryoperator-based iterative update strategy to form the binaryoperator-based 2D-BPSO to solve the optimization problem. We designed and implemented simulation program, the simulation results verify the feasibility of the proposed algorithm which can enhance the resource utilization efficiency in this simulation.
机译:随着部署到云计算平台的应用程序的增长越来越大,云提供商对云资源利用效率提升了更高的请求,但在VM上有云服务供应基础存在瓶颈。针对这些问题,我们提出了一种VM-Container混合分层资源调度机制,其根据虚拟化类型和调度状态的综合将任务分类为不同级别。通过使用轻量级且易于迁移的字符,我们在不同级别的任务中制定初始调度策略,并在迁移分配的任务时设计组合优化方案。我们用PSO优化了调度问题,并将传统的1D-PSO扩展到2D-PSO,并促进了ND-PSO的一般配方,我们提出了一种基于二氧化程序的迭代更新策略,以形成基于二氧化程序的2D-BPSO。解决优化问题。我们设计和实施了仿真程序,仿真结果验证了所提出的算法的可行性,该算法可以提高该模拟中的资源利用效率。

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