Autonomic Web Processes

  • Kunal Verma
  • Amit P. Sheth
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3826)


We seek to elevate autonomic computing from infrastructure to process level. Different aspects of autonomic computing – self configuring, self healing, self optimizing and self aware are studied for Autonomic Web Processes (AWPs) with the help of a supply chain process scenario. Existing technologies and steps needed to shorten the gap from current process management systems to AWPs are studied in this paper. The behavior of AWPs is controlled by policies defined by users. Sympathetic and parasympathetic policies are introduced to model short and long term policies. A key advantage for elevating autonomic computing to a process level is that the trade-offs can be more evident because the process components map more readily to business functions.


Business Process Process Configuration Autonomic Computing Autonomic Manager Execution Engine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Kunal Verma
    • 1
  • Amit P. Sheth
    • 1
  1. 1.LSDIS Lab, Dept. Of Computer ScienceUniversity of GeorgiaAthensUSA

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