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首页> 外文期刊>Mathematical Problems in Engineering >Modeling and Analysis of Queueing-Based Vary-On/Vary-Off Schemes for Server Clusters
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Modeling and Analysis of Queueing-Based Vary-On/Vary-Off Schemes for Server Clusters

机译：服务器集群的基于队列的可变/可变方案的建模与分析

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摘要

A cloud system usually consists of a lot of server clusters handling various applications. To satisfy the increasing demands, especially for the front-end web applications, the computing capacity of a cloud system is often allocated for the peak demand. Such installation causes resource underutilization during the off-peak hours. Vary-On/Vary-Off (VOVO) schemes concentrate workloads on some servers instead of distributing them across all servers in a cluster to reduce idle energy waste. Recent VOVO schemes adopt queueing theory to model the arrival process and the service process for determining the number of powered-on servers. For the arrival process, Poisson process can be safely assumed in web services due to the large number of independent sources. On the other hand, the heavy-tailed distribution of service times is observed in real web systems. However, there are no exact solutions to determine the performance for M/heavy-tailed/m queues. Therefore, this paper presents two queueing-based sizing approximations for Poisson and non-Poisson governed service processes. The simulation results of the proposed approximations are analyzed and evaluated by comparing with the simulated system running at full capacity. This relative measurement indicates that the Pareto distributed service process may be adequately modeled by memoryless queues when VOVO schemes are adopted.
机译：云系统通常由许多处理各种应用程序的服务器集群组成。为了满足不断增长的需求，尤其是对于前端Web应用程序，通常为高峰需求分配云系统的计算能力。这种安装会在非高峰时段导致资源利用不足。随上随下（VOVO）方案将工作负载集中在某些服务器上，而不是将它们分布在群集中的所有服务器上，以减少空闲的能源浪费。最近的VOVO方案采用排队理论来对到达过程和服务过程进行建模，以确定加电服务器的数量。对于到达过程，由于大量独立来源，可以安全地在Web服务中采用Poisson过程。另一方面，在实际的Web系统中观察到服务时间的繁重分配。但是，没有确切的解决方案来确定M /重尾/ m队列的性能。因此，本文为Poisson和非Poisson控制的服务流程提供了两个基于队列的大小估计。通过与满负荷运行的仿真系统进行比较，分析和评估了所提出的近似方法的仿真结果。此相对测量结果表明，当采用VOVO方案时，无内存队列可以对Pareto分布式服务过程进行适当的建模。

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