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

机译:基于改进的基于2D-BPSO的VM-容器混合分层云资源调度机制研究

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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 binary-operator-based iterative update strategy to form the binary-operator-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,云提供商对云资源利用效率提出了更高的要求,但是基于VM的云服务供应存在瓶颈。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,该机制根据虚拟化类型和调度状态的综合性将任务划分为不同的级别。利用轻量级,易于迁移的特点,针对不同级别的任务制定了初始调度策略,并在分配任务迁移时设计了组合优化方案。我们用PSO优化了调度问题,将传统的1D-PSO扩展到2D-PSO,并给出了nD-PSO的一般公式,进一步提出了基于二进制算子的迭代更新策略,以形成基于二进制算子的迭代更新策略。 2D-BPSO解决了优化问题。设计并实现了仿真程序,仿真结果验证了所提算法的可行性,可以提高仿真中的资源利用效率。

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