文章基本信息

标题：A Generosity Model to Study Data Center Performance and QoS in IaaS Cloud Computing Systems
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作者：D.S.Selvi ; A.Balasubramani ; P.Nirupama 等
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：7
页码：7032-7034
出版社：IJECS
摘要：Cloud computing is a general term for system architectures that involves delivering hosted services over the Internet,made possible by significant innovations in virtualization and distributed computing, as well as improved access to high-speedInternet. A cloud service differs from traditional hosting in three principal aspects. First, it is provided on demand, typically by theminute or the hour; second, it is elastic since the user can have as much or as little of a service as they want at any given time; andthird, the service is fully managed by the provider – user needs little more than computer and Internet access. Typically a contractis negotiated and agreed between a customer and a service provider; the service provider is required to execute service requestsfrom a customer within negotiated quality of service (QoS) requirements for a given price.Due to dynamic nature of cloud environments, diversity of user‘s requests, resource virtualization, and time dependencyof load, providing expected quality of service while avoiding over-provisioning is not a simple task. To this end, cloud providermust have efficient and accurate techniques for performance evaluation of cloud computing centers. The development of suchtechniques is the focus of this thesis. This thesis has two parts. In first part, monolithic performance models are developed forcloud computing performance analysis. Poisson task arrivals, generally distributed service times, and a large number of physicalservers. Later on, to extend the model to include finite buffer capacity, batch task arrivals, and virtualized servers with a largenumber of virtual machines in each physical machine. However, a monolithic model may suffer from intractability and poorscalability due to large number of parameters. Therefore, in the second part of the thesis we develop and evaluate tractablefunctional performance sub-models for different servicing steps in a complex cloud center and the overall solution obtain byiteration over individual sub-model solutions. Also extend the proposed interacting analytical sub-models to capture otherimportant aspects including pool management, power consumption, resource assigning process and virtual machine deployment ofnowadays cloud centers. Finally, a performance model suitable for cloud computing centers with heterogeneous requests andresources using interacting stochastic models is proposed and evaluated
关键词：Cloud computing; Federation; stochastic;reward nets; cloud-oriented performance metrics; resiliency;responsiveness.