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A two-stage load balancing method for HLA simulation system on cloud simulation platform

机译:云仿真平台上HLA仿真系统的两阶段负载均衡方法

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Cloud simulation makes contribution to simulation system by providing on-demand, everywhere simulation services. Load Balancing is a fatal issue for Cloud simulation for the reason that an overloaded node may cause slowdown of the whole system. To acquire high performance of Cloud simulation, this paper proposes a two-stage load balancing method. The first stage aims to virtual machine (VM) load balancing by using a heuristic algorithm to allocate Federates to VMs before the simulation start. In the second stage, the VMs are dynamically migrated between physical machines (PMs) to keep the load balancing of PMs during the simulation. Experiments show that the two-stage load balancing method can significantly improve the efficiency of the HLA system on Cloud simulation platform (CSP).
机译:云模拟通过提供随需随处的模拟服务,为模拟系统做出了贡献。负载平衡对于云仿真来说是一个致命的问题,因为节点过载可能会导致整个系统变慢。为了获得高性能的云仿真,本文提出了一种两阶段的负载均衡方法。第一阶段旨在通过使用启发式算法在仿真开始之前将联合身份分配给VM来实现虚拟机(VM)负载平衡。在第二阶段,VM在物理机(PM)之间动态迁移,以在仿真过程中保持PM的负载平衡。实验表明,两阶段负载均衡方法可以显着提高HLA系统在云仿真平台(CSP)上的效率。

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