Empirical Evaluation of Content-based Pub/Sub Systems over Cloud Infrastructure

Biao Zhang, Beihong Jin, Haibiao Chen, Z. Qin
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引用次数: 6

Abstract

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.
云基础设施上基于内容的Pub/Sub系统的实证评价
Pub/Sub系统允许用户提交订阅,并以分布式方式将检测到的事件通知感兴趣的用户。将Pub/Sub系统迁移到云基础设施是为了获得高性能和可扩展性。本文介绍了如何将PADRES和Once Pub Sub两个Pub/Sub系统迁移到Xen云平台,特别提出了黑盒法、灰盒法和白盒法,以充分利用云机制的优势。然后,本文对云中的Pub/Sub系统进行了一系列实验,以评估收益和成本。实验结果表明,黑盒方法虽然易于实现,但并不总是有效,而灰盒方法在事先知道工作负载特征和代理角色的情况下更适用于Pub/Sub系统。此外,实验结果表明,白盒方法结合了云和Pub/Sub系统中的负载均衡机制,特别是面对分布不明的工作负载时,可以获得令人满意的性能和可扩展性。
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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