Kinesthetics eXtreme: An External Infrastructure for Monitoring Distributed Legacy Systems

Autonomic computing – self-configuring, self-healing, self-optimizing applications, systems and networks – is widely believed to be a promising solution to everincreasing system complexity and the spiraling costs of human system management as systems scale to global proportions. Most results to date, however, suggest ways to architect new software constructed from the ground up as autonomic systems, whereas in the real world organizations continue to use stovepipe legacy systems and/or build “systems of systems” that draw from a gamut of new and legacy components involving disparate technologies from numerous vendors. Our goal is to retrofit autonomic computing onto such systems, externally, without any need to understand or modify the code, and in many cases even when it is impossible to recompile. We present a meta-architecture implemented as active middleware infrastructure to explicitly add autonomic services via an attached feedback loop that provides continual monitoring...

• Type: Conference
• Year: 2003
• Where: IEEEAMS
• Authors: Gail E. Kaiser, Janak J. Parekh, Philip Gross, Giuseppe Valetto
• Keywords: Autonomic Computing, Autonomic Systems, IEEEAMS 2003, Internet Technology, Systems