虚拟化数据中心中的节能租赁调度
Energy-Aware Lease Scheduling in Virtualized Data Centers
摘要：
能源效率已经成为衡量虚拟化数据中心调度算法的重要指标。然而，能量高效调度算法的挑战之一是在最小化能量消耗和满足服务质量（例如，性能、预留请求的资源可用性）之间的权衡。我们认为，在私有云系统的虚拟化数据中心的上下文中的资源需求，提供资源租赁的虚拟机（VM）的用户应用程序。在本文中，我们提出了解决上述挑战的虚拟机调度算法。在性能评估方面，仿真结果表明，与现有的先来先服务（FCFS）调度算法相比，在满足相同性能要求的情况下，所提算法的总能耗显著降低。我们还讨论了在上述算法中额外使用迁移策略时的节能改进。
英文摘要：
Energy efficiency has become an important measurement of scheduling algorithms in virtualized data centers. One of the challenges of energy-efficient scheduling algorithms, however, is the trade-off between minimizing energy consumption and satisfying quality of service (e.g. performance, resource availability on time for reservation requests). We consider resource needs in the context of virtualized data centers of a private cloud system, which provides resource leases in terms of virtual machines (VMs) for user applications. In this paper, we propose heuristics for scheduling VMs that address the above challenge. On performance evaluation, simulated results have shown a significant reduction on total energy consumption of our proposed algorithms compared with an existing First-Come-First-Serve (FCFS) scheduling algorithm with the same fulfillment of performance requirements. We also discuss the improvement of energy saving when additionally using migration policies to the above mentioned algorithms.
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