Title: Improving the performances of JMS-based applications

Authors: Christophe Taton, Noel De Palma, Sara Bouchenak, Daniel Hagimont

Addresses: Institut National Polytechnique de Grenoble, Grenoble, France. ' Institut National Polytechnique de Grenoble, Grenoble, France. ' Universite Grenoble I, Grenoble, France. ' Institut National Polytechnique de Toulouse, Toulouse, France

Abstract: In the Java world, a standardised interface exists for Message-Oriented Middleware (MOM): Java Messaging Service or JMS. Like other middleware, some JMS implementations use clustering techniques to provide some level of performance and fault tolerance. In this paper, we analyse the efficiency of various clustering policies in a real-life cluster and the key parameters impacting the performances of MOMs. We show that the resource efficiency of the clustering methods can be very poor due to local instabilities and/or global load variations. To solve these issues, we describe the rules that control these parameters for optimal performances and propose a solution based on autonomic computing to (1) dynamically adapt the load distribution among the servers (load-balancing aspect) and (2) dynamically adapt the replication level (provisioning aspect). We present an evaluation that shows the impact of these rules on the performances and behaviour of the dynamic provisioning of replicated queues.

Keywords: message-oriented middleware; MOM; Java messaging service; JMS; autonomic management; self-optimisation; performance optimisation; autonomic computing; clustering policies; load distribution; load balancing; dynamic provisioning; replicated queues.

DOI: 10.1504/IJAC.2009.024501

International Journal of Autonomic Computing, 2009 Vol.1 No.1, pp.81 - 102

Received: 21 Dec 2007
Accepted: 22 Aug 2008
Published online: 07 Apr 2009 *

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