DocumentCode :
2832246
Title :
Modeling Load on a Publish/Subscribe System
Author :
Singhera, Zafar U.
fYear :
2008
fDate :
1-5 Sept. 2008
Firstpage :
706
Lastpage :
710
Abstract :
Message oriented middleware (MOM) systems have been using publish/subscribe mechanism for asynchronous messaging among backend servers. Latest developments in modern Web-based clients have extended the use of publish/subscribe mechanism from backend servers to front-end clients. Some of the recently proposed protocols, like Bayeux, use topic-based publish/subscribe mechanism to exchange messages between clients and servers. This paper shares our experience in designing a load generation framework for benchmarking of an HTTP publish/subscribe server. It analyzes topic-based publish/subscribe domain by identifying major domain entities. It documents issues and challenges in load generation and benchmarking of such systems. It presents a model to represent a topic-based publish/subscribe system. We also share our experience in using the proposed model for load-generation and benchmarking of an HTTP/Bayeux based publish/subscribe server implementation. Some implementation details about our benchmarking framework, including an XML schema to represent a set of workloads, are shared. The paper is concluded by sharing shortcomings in the proposed model, and our plans on extending this work to other asynchronous and synchronous messaging paradigms.
Keywords :
Internet; XML; hypermedia; middleware; Bayeux protocol; HTTP publish-subscribe server; Web-based clients; XML schema; asynchronous messaging; load generation framework; message oriented middleware; topic-based publish-subscribe system; Databases; Expert systems; Load modeling; Message systems; Message-oriented middleware; Protocols; Subscriptions; Usability; Web server; XML; Computer Performance; Load Modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on
Conference_Location :
Turin
ISSN :
1529-4188
Print_ISBN :
978-0-7695-3299-8
Type :
conf
DOI :
10.1109/DEXA.2008.121
Filename :
4624801
Link To Document :
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