DocumentCode
2169712
Title
Towards the knowledge-driven benchmarking of autonomic communications
Author
Lewis, David ; O´ Sullivan, D. ; Keeney, John
Author_Institution
Knowledge & Data Eng. Group, Trinity Coll. Dublin
fYear
0
fDate
0-0 0
Lastpage
505
Abstract
Currently a wide range of different adaptive and intelligent system solutions are being proposed for use in self-managing or autonomic networks. However, there are few means by which such proposals can be compared. This paper proposes that a benchmark be developed for autonomic systems so that progress in this field can be more systematically evaluated. Our approach assumes that autonomic systems make use of and thus expose a knowledge based representation of the service they offer, the context they react to and the governance to which they are subject. This position paper focuses on some of the issues that arise when formulating a benchmark for autonomic communications and is intended to form the basis for further discussion in the area
Keywords
adaptive systems; artificial intelligence; benchmark testing; computer network management; knowledge representation; adaptive system; autonomic communication; intelligent system solution; knowledge-driven benchmarking; self-managing network; Adaptive systems; Artificial intelligence; Context; Control systems; Costs; Data engineering; Educational institutions; Humans; Monitoring; Pervasive computing;
fLanguage
English
Publisher
ieee
Conference_Titel
World of Wireless, Mobile and Multimedia Networks, 2006. WoWMoM 2006. International Symposium on a
Conference_Location
Buffalo-Niagara Falls, NY
Print_ISBN
0-7695-2593-8
Type
conf
DOI
10.1109/WOWMOM.2006.110
Filename
1648504
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