empirical evaluation of content-based pub/sub systems over cloud infrastructure

	empirical evaluation of content-based pub/sub systems over cloud infrastructure
	Biao Zhang; Beihong Jin; Haibiao Chen; Ziyuan Qin
	2010
会议名称	IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing, EUC 2010
会议录名称	Proceedings - IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2010
页码	81-88
会议日期	40878
会议地点	Hong Kong
出版地	United States
ISBN	978-1-4244-9719-5
部门归属	Inst. of Software, Chinese Acad. of Sci., Beijing, China
摘要	Pub/Sub systems permit users to submit subscriptions and notify interested users of the events detected in a distributed way. Moving a Pub/Sub system to a cloud infrastructure is for high performance and scalability. This paper describes how to migrate two Pub/Sub systems i.e. PADRES and Once Pub Sub to Xen Cloud Platform, especially proposes black-box method, grey-box method and white-box method so as to take full advantage of cloud mechanisms. This paper then conducts a series of experiments on the Pub/Sub systems in the cloud to evaluate benefits and costs. The experimental results indicate that the black-box method does not always take effect although it can be implemented easily, the grey-box method is more appropriate to a Pub/Sub system if its workload features and brokers' roles are known in advance. Further, the experimental results show the white-box method, combined the load balance mechanism both in the cloud and in a Pub/Sub system, can achieve satisfying performance and scalability especially facing the workload with unidentified distribution.
关键词	Once Pub Sub Padres Xen Cloud Platform Black-box Method Cloud Infrastructure Content-based Pub-sub Systems Grey-box Method Load Balance Mechanism White-box Method Cloud Computing Message Passing Middleware Resource Allocation
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8746
专题	软件工程技术研究开发中心
推荐引用方式 GB/T 7714	Biao Zhang,Beihong Jin,Haibiao Chen,et al. empirical evaluation of content-based pub/sub systems over cloud infrastructure[C]. United States,2010:81-88.

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