CiteULike is a free online bibliography manager. Register and you can start organising your references online.

The design of an autonomic computing model and the algorithm for decision-making Export

Granular Computing, 2005 IEEE International Conference on In Granular Computing, 2005 IEEE International Conference on, Vol. 1 (2005), pp. 270-273 Vol. 1.

Citation Format

[Posts]

View FullText article


japarejo's tags for this article

2005 algorithms autonomic decision-making

X Reviews [Write a review of this article]

X Find related articles from these CiteULike users

X Find related articles with these CiteULike tags

X Posting History

X Abstract

Autonomic computing is regarded as a good method to resolve the problems, such as the continuous increase in the cost of IT and the complication of management. In order to realize the characteristics of self-configuration, self-optimization, self-healing and self-protection effectively, it is urgent to construct a qualified model of autonomic computing. Obviously, making decision by itself is one of the most crucial abilities for autonomic elements. In view of these problems, an autonomic computing model is designed. For realizing autonomic decision-making, the concepts of behavioral rule, matching degree of two behavioral conditions and so on are defined, and some related questions are also discussed. Then, according to the model, an algorithm for autonomic decision-making based on behavioral rules is presented. Finally, the simulation results illustrate that the algorithm is effective.


X BibTeX record

X RIS record


Privacy Statement | Terms & Conditions
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.