Title :
An innovative approach of Ant Colony optimization for load balancing in peer to peer grid environment
Author :
Jain, Abhishek ; Singh, Rajdeep
Author_Institution :
Dept. of Comput. Sci., Gov. Eng. Coll., Ajmer, India
Abstract :
Grid computing is group of different resources that are used as virtual resource to a user and provide good grid environment. Now-a-days peer to peer grid used that increase the resource management and load balancing in this environment. Load balancing is critical factor to balance the overall load of the nodes or jobs. There is no. of solutions to achieve load equilibrium state. Ant Colony optimization is used to provide optimal solution for load balancing. In this paper, The Master Ant Colony algorithm has proposed which used in peer to peer environment. Experiments are conducted on different data series and different conditions. The proposed algorithm provides better results in peer to peer environment. MATLAB provide different kinds function to develop heuristic algorithm with new concepts. The Master_ACO achieve better optimal solution with vanishing node concept.
Keywords :
ant colony optimisation; grid computing; mathematics computing; peer-to-peer computing; resource allocation; MATLAB; ant colony optimization; grid computing; heuristic algorithm; innovative approach; load balancing; load equilibrium state; master ant colony algorithm; master_ACO; peer to peer grid environment; resource management; vanishing node concept; virtual resource; MATLAB; Mobile agents; Peer-to-peer computing; ACO; Grid Computing; Load Balancing; P2P;
Conference_Titel :
Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on
Conference_Location :
Ghaziabad
DOI :
10.1109/ICICICT.2014.6781242