Performance evaluation of message-oriented middleware using the SPECjms2007 benchmark

  • Authors:
  • Kai Sachs;Samuel Kounev;Jean Bacon;Alejandro Buchmann

  • Affiliations:
  • Databases and Distributed Systems Group, TU Darmstadt, Germany;Databases and Distributed Systems Group, TU Darmstadt, Germany and Computer Laboratory, University of Cambridge, UK;Computer Laboratory, University of Cambridge, UK;Databases and Distributed Systems Group, TU Darmstadt, Germany

  • Venue:
  • Performance Evaluation
  • Year:
  • 2009

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Abstract

Message-oriented middleware (MOM) is at the core of a vast number of financial services and telco applications, and is gaining increasing traction in other industries, such as manufacturing, transportation, health-care and supply chain management. Novel messaging applications, however, pose some serious performance and scalability challenges. In this paper, we present a methodology for performance evaluation of MOM platforms using the SPECjms2007 standard benchmark. SPECjms2007 is based on a novel application in the supply chain management domain, designed to stress MOM infrastructures in a manner representative of real-world applications. In addition to providing a standard workload and metrics for MOM performance, the benchmark provides a flexible performance analysis framework that allows users to tailor the workload to their requirements. The contributions of this paper are: (i) we present a detailed workload characterization of SPECjms2007 with the goal to help users understand the internal components of the workload and the way they are scaled, (ii) we show how the workload can be customized to exercise and evaluate selected aspects of MOM performance, (iii) we present a case study of a leading JMS platform, the BEA WebLogic server, conducting an in-depth performance analysis of the platform under a number of different workload and configuration scenarios. The methodology we propose is the first one that uses a standard benchmark, providing both a representative workload as well as the ability to customize it to evaluate the features of MOM platforms selectively.