An adaptive Qos-aware cloud

Zhang Yuchao, Deng Bo, Peng Fuyang
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引用次数: 9

Abstract

As an emerging technique, cloud computing has been suffering challenges from its quality of service (QoS) guarantee. Any violation of SLA would lead to a loss for both cloud providers and customers. To solve this problem, dynamical management of resources to ensure the QoS has been put forward as a demanding work in the cloud. In this paper, we present an adaptive QoS-aware cloud based on the Eucalyptus, which can dynamically scale up and down to guarantee QoS negotiated via SLA. Our adaptive QoS-aware cloud employs two load balancing policies and monitors the application-level QoS to scale adaptively. We conduct the evaluation in open source Eucalyptus based on XEN virtual machine monitor (VMM). As demonstrated in our experiment, our solution presents an adaptive scalability while maintaining the QoS.
自适应qos感知云
云计算作为一种新兴技术,其服务质量(QoS)的保障一直面临着挑战。任何违反SLA的行为都会给云提供商和客户带来损失。为了解决这一问题,对资源进行动态管理以保证服务质量已经成为云计算中一项要求很高的工作。本文提出了一种基于Eucalyptus的自适应QoS感知云,该云可以动态伸缩以保证通过SLA协商的QoS。我们的自适应QoS感知云采用两个负载平衡策略,并监控应用程序级QoS以自适应扩展。我们在基于XEN虚拟机监视器(VMM)的开源Eucalyptus中进行评估。正如我们的实验所证明的那样,我们的解决方案在保持QoS的同时提供了自适应可伸缩性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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