Towards Autonomic Computing Middleware via Reflection

  • Authors:
  • Gang Huang;Tiancheng Liu;Hong Mei;Zizhan Zheng;Zhao Liu;Gang Fan

  • Affiliations:
  • Peking University;Peking University;Peking University;Peking University;Peking University;Peking University

  • Venue:
  • COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
  • Year:
  • 2004

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Abstract

Autonomic computing middleware is a promising way to enable middleware based systems to cope with the rapid and continuous changes in the era of Internet. Technically, there have three fundamental and challenging capabilities to an autonomic computing middleware, including how to monitor, reason and control middleware platform and applications. This position paper presents a reflection-based approach to autonomic computing middleware, which shows the philosophy that autonomic computing should focus on how to reason while reflective computing supports how to monitor and control. In this approach, the states and behaviors of middleware-based systems can be observed and changed through reflective mechanisms embedded in middleware platform at runtime. On the basis of reflection, some autonomic computing facilities could be constructed to reason and decide when and what to change. The approach is demonstrated on a reflective J2EE application server, which can automatically optimize itself in the standard J2EE benchmark testing.