摘要: 随着云计算的快速发展,大型分布式计算被广泛应用。但是,其运行时的巨大能量消耗已经成为应用推广的难题。目前的节能研究主要提出通过调度来减少服务器的运行数量以节能,而没有考虑网络的能耗。提出的分级调度算法HAS(Hierarchical Scheduling Algorithm)针对各计算节点间可能出现任务调度的情况,以DMNS(Dynamic Maxi-mum Node Sorting)调度方法将这些应用尽量分配到连接到同一级交换机的服务器中,然后,将应用数量少的计算节点上的任务转移到还能增加任务的节点,从而减少节点的数量。同时,调度时选择的是较少的数据交换量和较短的交换路径,以节约网络能耗。HAS算法的复杂度较好,且其稳定性也通过计算仿真得到验证。通过仿真数据对比表明,HAS比目前的其它方法更优。
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