empirical evaluation of content-based pub/sub systems over cloud infrastructure
文献类型:会议论文
作者 | Biao Zhang ; Beihong Jin ; Haibiao Chen ; Ziyuan Qin |
出版日期 | 2010 |
会议名称 | IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing, EUC 2010 |
会议日期 | 40878 |
会议地点 | Hong Kong |
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 |
页码 | 81-88 |
英文摘要 | 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. |
会议录 | Proceedings - IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2010
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会议录出版地 | United States |
ISBN号 | 978-1-4244-9719-5 |
源URL | [http://124.16.136.157/handle/311060/8746] ![]() |
专题 | 软件研究所_软件工程技术研究开发中心 _会议论文 |
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]. 见:IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing, EUC 2010. Hong Kong. 40878. |
入库方式: OAI收割
来源:软件研究所
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