DocumentCode
458849
Title
Intelligent Ant-Based Solution to the Application Service Partitioning Problem in a Grid Environment
Author
Musunoori, Sharath Babu ; Horn, Geir
Author_Institution
SIMULA Res. Lab., Lysaker
Volume
1
fYear
2006
fDate
16-18 Oct. 2006
Firstpage
416
Lastpage
424
Abstract
This paper presents a decentralised multi-agent method based the metaphor of foraging intelligent ants, for solving the problem of application service partitioning onto the execution nodes of the grid environment such that all services of the application satisfy some minimum quality requirements. Fundamentally, this is an NP-hard problem. The proposed algorithms have been rigorously tested and evaluated through extensive simulations on randomly generated application services and grid environment. The results show that intelligent ants perform significantly better than what could be achieved with simple unintelligent random ants
Keywords
computational complexity; grid computing; multi-agent systems; NP-hard problem; application service partitioning; decentralised multiagent method; foraging intelligent ants; grid environment; service configuration; Application software; Computational modeling; Distributed computing; Feedback; Learning automata; Mesh generation; NP-hard problem; Partitioning algorithms; Testing; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location
Jinan
Print_ISBN
0-7695-2528-8
Type
conf
DOI
10.1109/ISDA.2006.176
Filename
4021475
Link To Document