云计算模拟器上IaaS建模器分配策略的服务质量评价

Law Siew Xue, Nazatul Aini Abd Majid, E. Sundararajan
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引用次数: 1

摘要

如今,云计算在应用程序开发人员中越来越流行。随着云计算的出现,应用程序开发人员可以使用低成本的计算资源,几乎不用担心硬件维护问题。为了更好地理解云平台的行为,已经开发了许多用于云平台的模拟器,其中常用的模拟器之一是CloudSim。云模拟器(CloudSim)是一种工具,它为调查和理解云实体和事件的联合提供了一个环境。本文研究了IaaS建模器中主机数量、主机MIPS、主机RAM (MB)大小、主机存储、主机带宽、VM和cloudlet完成时间等参数变化的影响。研究了处理核分配到虚拟机的调度策略。我们介绍了一种使用PCA和聚类技术的方法,与现有的FCFS方法相比,该方法有望在分配策略上表现更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality of Service Evaluation of IaaS Modeler Allocation Strategies on Cloud Computing Simulator
Cloud computing is becoming popular among application developers nowadays. With the advent of cloud, application developers can use computing resources that are cost effective with almost zero hardware maintenance worries. Many Simulators for Cloud platform has been developed to better understand the behavior of this platform and one of the commonly used simulator is CloudSim. The Cloud simulator (CloudSim) is a tool that provides an environment for investigating and understanding the federation of cloud entities and events. The effect of variation in parameters such as number of host, host MIPS, host RAM (MB) size, host storage, host bandwidth and VM and cloudlet completion time in IaaS modeler has been studied in this work. The scheduling policy for allocating processing cores to virtual machines has also been studied. We introduce an approach using PCA and clustering technique that is expected to perform better compared to the existing FCFS method for the allocation strategy.
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