DocumentCode :
2755447
Title :
Co-ordination in Intelligent Ant-Based Application Service Mapping in Grid Environments
Author :
Musunoori, Sharath Babu ; Horn, Geir
Author_Institution :
SIMULA Res. Lab., Lysaker
fYear :
2007
fDate :
1-5 April 2007
Firstpage :
303
Lastpage :
309
Abstract :
A key problem of component-based grid application configuration is to map services onto the execution nodes of the grid environment such that all services of the application satisfy some minimum quality requirements. This problem is known to be NP-hard. This paper presents two extensions to our previous ant-based application service mapping heuristic, in order to establish some coordination among the working agents in a decentralized environment and improve its convergence rate. The first extension proposes to use gatekeepers that learn to guide the movement of intelligent foraging ants. The second extension is a coordination mechanism to allow an ant to draw on the learned knowledge of its co-workers. The simulation evaluation of the proposed extensions shows that inclusion of scaled sleep time further improves the convergence rates while the gatekeepers seem to have a negative effect.
Keywords :
artificial intelligence; computational complexity; grid computing; learning automata; optimisation; NP-hard; application service mapping; component-based grid application configuration; gatekeepers; grid environments; intelligent foraging ants; learning automata; service configuration; Computational modeling; Control systems; Convergence; Decision making; Ecosystems; Grid computing; Learning automata; Particle swarm optimization; Resource management; Stochastic processes; Learning Automata; Mapping; Partitioning; Service Configuration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Swarm Intelligence Symposium, 2007. SIS 2007. IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0708-7
Type :
conf
DOI :
10.1109/SIS.2007.367952
Filename :
4223189
Link To Document :
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