Enabling on demand deployment of middleware services in componentized middleware

  • Authors:

  • Yan Li;Minghui Zhou;Chao You;Guo Yang;Hong Mei

  • Affiliations:

  • Key Laboratory of High Confidence Software Technologies, Ministry of Education Software Institute, School of Electronics Engineering and Computer Science, Peking University, Beijing, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education Software Institute, School of Electronics Engineering and Computer Science, Peking University, Beijing, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education Software Institute, School of Electronics Engineering and Computer Science, Peking University, Beijing, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education Software Institute, School of Electronics Engineering and Computer Science, Peking University, Beijing, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education Software Institute, School of Electronics Engineering and Computer Science, Peking University, Beijing, China

  • Venue:
  • CBSE'10 Proceedings of the 13th international conference on Component-Based Software Engineering
  • Year:
  • 2010

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Abstract

With the prevalence of middleware, the amount of middleware services (abbr. services) grows increasingly large. However, an application typically utilizes a small subset of the services. In consequence, middleware is often criticized for deploying all the possible services at bootstrap. This paper advocates an on demand approach of deploying services, which is that the middleware automatically and dynamically deploys a minimal set of services according to applications' demands, so that low resource consumption, high customizability and short boot time can be obtained. By encapsulating the service as a set of independent deployable components with clearly specified dependencies, we address the problem of on demand service deployment by dint of managing dependencies among the components at runtime and propose a framework supporting the management of application, middleware components and runtime dependencies. Finally, the framework is implemented in a Java EE middleware to demonstrate its feasibility and effectiveness.