Utilizing Stigmergy in Support of Autonomic Principles
Learning by nature has always been a source of inspiration for various kinds of developments in different domains. So called bio-inspired mechanisms, such as stigmergy, swarm behavior or heart beat monitoring have been utilized in various systems in order to take advantage of principles that have not only been evolved by nature but have been proven to be effective. Recently, such mechanisms have received a special interest from the area of autonomic computing where they are seen to be highly relevant to support autonomic features such as self-organization and self-adaptation. This paper evaluates the use of stigmergic mechanisms in order to support such autonomic principles. In particular, three distinct use-cases will be evaluated, which use stigmergy to facilitate or optimize their behavior. The concepts proposed will be applied to a new type of knowledge provisioning system, namely Knowledge Networks, which will be used as a running example throughout.
M. Baumgarten K. Greer M.D. Mulvenna K. Curran C. Nugent
Faculty of Engineering, University of Ulster, Shore Road, Newtownabbey BT37 0QB, UK
国际会议
2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)
西安
英文
2007-10-29(万方平台首次上网日期,不代表论文的发表时间)