DocumentCode :
3084507
Title :
Self-organizing Replica Placement - A Case Study on Emergence
Author :
Herrmann, Klaus
Author_Institution :
Univ. of Stuttgart, Stuttgart
fYear :
2007
fDate :
9-11 July 2007
Firstpage :
13
Lastpage :
22
Abstract :
The concept of self-organization is rapidly gaining importance in the area of distributed computing system However, we still lack the necessary means for engineering such system in a standardized way since their common properties are rather abstract, and the mechanisms from which self-organization emerges are too diverse. Therefore,it has become common practice to engineer computing systems by taking inspirations from well-known case studies of biological systems. However, the concepts found in such systems are in many cases only partially transferable to the domain of distributed computing systems since biological systems are subject to vastly different constraints compared to those in a computing system. Our contributions in this paper are the following: (i) We present a case study of a self-organizing software system that originates from the domain of distributed computing systems. Therefore, its concepts can be exploited in other distributed computing systems much more directly, (ii) We give a detailed analysis of the emergent properties of the system and the mechanisms by which they arise, (iii) We generalize the mechanisms by which self-organization emerges in this system and present a catalog of design questions that may help engineers in creating arbitrary self-organizing systems.
Keywords :
artificial intelligence; grid computing; self-adjusting systems; ad hoc service grid; ambient intelligence; distributed computing system; self-organizing replica placement; self-organizing software system; systems engineer; Biological systems; Biology computing; Computer science; Design engineering; Distributed computing; Engineering management; Mechanical factors; Scalability; Software systems; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Self-Adaptive and Self-Organizing Systems, 2007. SASO '07. First International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7695-2906-2
Type :
conf
DOI :
10.1109/SASO.2007.54
Filename :
4274886
Link To Document :
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