Simplifying autonomic enterprise java bean applications via model-driven development: a case study

Authors:
Jules White;Douglas C. Schmidt;Aniruddha Gokhale
Affiliations:
Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN;Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN;Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN
Venue:
MoDELS'05 Proceedings of the 8th international conference on Model Driven Engineering Languages and Systems
Year:
2005

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Abstract

Autonomic computer systems aim to reduce the configuration, operational, and maintenance costs of distributed applications by enabling them to self-manage, self-heal, self-optimize, self-configure, and self-protect. This pa-per provides two contributions to the model-driven development (MDD) of autonomic computing systems using Enterprise Java Beans (EJBs). First, we describe the structure and functionality of an MDD tool that formally captures the design of EJB applications, their quality of service (QoS) requirements, and the autonomic properties applied to the EJBs to support the rapid development of autonomic EJB applications via code generation, automatic checking of model correctness, and visualization of complex QoS and autonomic properties. Second, the paper describes how MDD tools can generate code to plug EJBs into a Java component framework that provides an autonomic structure to monitor, configure, and execute EJBs and their adaptation strategies at run-time. We present a case study that evaluates how these tools and frameworks work to reduce the complexity of developing autonomic applications.