文章基本信息

标题：Achieving Dynamic and Distributed Session Management with Chord for Software as a Service Cloud
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作者：Pervez, Zeeshan ; Khattak, Asad Masood ; Lee, Sungyoung 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2012
卷号：7
期号：6
页码：1403-1412
DOI：10.4304/jsw.7.6.1403-1412
语种：English
出版社：Academy Publisher
摘要：Cloud computing - started as a buzz word is rapidly embraced by the enterprises and preached by the technological evangelist. Availability of high bandwidth internet at the end user level, and the adoption of virtualization for efficient resource utilization by the data-center management has given birth to this new computing paradigm. It promises colossal on-demand processing and storage capacity along with scalable service delivery model. Software solution providers are applying cloud computing to reduce service provisioning cost, by providing their business functionality as a service. However, it requires modification in context of how existing services are provisioned. Existing session management policies require dedicated computing resources to process sessions; this deviate from the concept of "Pay-As-You-Use". To conform to cloud computing architecture there is need to decouple session management with provisioned services. Derived by the need of on-demand service provisioning in this paper we present a decentralized session management framework inspired by P2P routing protocol. We call the proposed framework Chord based Session Management Framework for Software as a Service Cloud (CSMC). By applying CSMC there will be no need of separately deployed computing resources for managing sessions, in fact CSMC uses existing least utilized resources within Cloud Area Network (CAN). CSMC has been tested on three different cloud configurations, our results reveal that CSMC can be effectively deployed in cloud to achieve seamless service scalability. Additionally we have tested CSMC on different web servers to highlight its efficacy of session management on varied cloud infrastructure.
关键词：Session Management; Algorithms; Management; Measurement; Performance