DocumentCode
2758733
Title
Characterizing and Evaluating Problem Solving Self-* Systems
Author
Kaddoum, Elsy ; Gleizes, Marie-Pierre ; George, Jean-Pierre ; Picard, Gauthier
Author_Institution
IRIT, Univ. Paul Sabatier, Toulouse, France
fYear
2009
fDate
15-20 Nov. 2009
Firstpage
137
Lastpage
145
Abstract
In the last few years, the growing complexity of current applications has led to the design of self-organizing systems presenting self-* properties. Those systems are composed of several autonomous interactive entities. They behave autonomously and present interesting characteristics allowing them to handle dynamics coming from exogenous and endogenous changes. As those systems are different from classical ones, new or updated characterization and evaluation criteria are required for analyzing the contribution of self-* properties and system performance. This work is a first step for evaluating self-* systems. Its main purpose is to propose a simulation based evaluation framework which aims at guiding the evaluation of this kind of systems from the design phase all the way to the execution results: evaluation of the system at run-time, intrinsic and development methodologies characterization.
Keywords
problem solving; self-adjusting systems; autonomous interactive entities; complexity; problem solving system; self-organizing system; simulation based evaluation framework; Communication industry; Communication system control; Computational complexity; Current measurement; Environmental economics; Industrial economics; Performance analysis; Problem-solving; Robustness; System performance; self-* systems characterization; self-*systems comparison.; self-*systems evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:
Conference_Location
Athens
Print_ISBN
978-1-4244-5166-1
Electronic_ISBN
978-0-7695-3862-4
Type
conf
DOI
10.1109/ComputationWorld.2009.100
Filename
5359570
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