DocumentCode :
2460885
Title :
Ant-Based Approach to the Quality Aware Application Service Partitioning in a Grid Environment
Author :
Musunoori, Sharath Babu ; Horn, Geir
Author_Institution :
Simula Res. Lab., Lysaker
fYear :
0
fDate :
0-0 0
Firstpage :
589
Lastpage :
596
Abstract :
This paper presents the first ant system based approach to the problem of configuring an application seen as a service composition on a distributed grid execution platform. The service set is to be partitioned onto the available execution nodes such that they satisfy some minimum quality requirements. Fundamentally this is an NP-hard problem. This paper explores the metaphor of foraging unintelligent ants of an ant colony, and model a de-centralised multi-agent method for solving the service partitioning problem. Moreover this approach establishes a distributed problem solving mechanism which does not require to have a central control. Simulations show that this is a viable approach for configuring applications in a grid environment.
Keywords :
grid computing; multi-agent systems; optimisation; NP-hard problem; ant-based approach; decentralised multiagent method; distributed grid execution platform; distributed problem solving mechanism; foraging uninteffigent ants; grid environment; quality aware application; service partitioning; Centralized control; Computational modeling; Concurrent computing; Distributed computing; Environmental management; Grid computing; NP-hard problem; Problem-solving; Processor scheduling; Resource management; Ant System; Mapping; Partitioning; Scheduling; Service Configuration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9487-9
Type :
conf
DOI :
10.1109/CEC.2006.1688363
Filename :
1688363
Link To Document :
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