Feb 1, 2011
An Autonomic Context Management Model based on Machine Learning
T. Cioara, I. Anghel, I. Salomie, M. Dinsoreanu – An Autonomic Context Management Model based on Machine Learning, in Proceedings of the 12th IEEE International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, Timisoara, Romania, September 2010, http://synasc10.info.uvt.ro/,
http://wiki.ieat.ro/ieat/Synasc2010/Program, to be published, ACM INDEXED
Posted by: alerox
In this paper we approach the context management problem by defining a self-healing algorithm that uses a policy-driven reinforcement learning mechanism to take run-time decisions. The situation calculus and information system theories are used to define and formalize self-healing concepts such as context situation entropy and equivalent context situations. The self-healing property is enforced by monitoring the system’s execution environment to evaluate the degree of fulfilling the context policies for a context situation, and to determine the actions to be executed in order to keep the system in a consistent healthy state.