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Research on the Cloud Computing Load Balance Degree of Priority Scheduling Algorithm based on Convex Optimization Theory

机译:基于凸优化理论的优先调度算法云计算负荷平衡研究

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In this research paper, we research on the cloud computing load balance degree of priority scheduling algorithm based on convex optimization theory. Clustering is an important problem is the load balancing in the system. Load balancing cluster system goal is according to the performance of the processor to allocate commensurate with the task. Cloud services in one of the core technology of virtualization technology can make a variety of computing resources dynamically organize, computer hardware architecture and software system will separate. The theoretical and numerical analysis show the effectiveness and feasibility of our propose method. The detailed discussion will be conducted in the following subsections with examples and mathematical inductions.
机译:在本研究论文中,我们基于凸优化理论的优先级调度算法云计算负荷平衡程度研究。 群集是一个重要问题是系统中的负载平衡。 负载平衡群集系统目标是根据处理器的性能分配与任务相应的。 云服务在虚拟化技术的一个核心技术中可以使各种计算资源动态组织,计算机硬件架构和软件系统将分开。 理论和数值分析表明我们提出方法的有效性和可行性。 详细讨论将在以下与示例和数学诱导的以下小节中进行。

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