Ant-based load balancing in telecommunications networks
Adaptive Behavior
Ant-like agents for load balancing in telecommunications networks
AGENTS '97 Proceedings of the first international conference on Autonomous agents
On Load Balancing for Distributed Multiagent Computing
IEEE Transactions on Parallel and Distributed Systems
A Comparison of Three Artificial Life Techniques for Reporting Cell Planning in Mobile Computing
IEEE Transactions on Parallel and Distributed Systems
The particle swarm optimization algorithm: convergence analysis and parameter selection
Information Processing Letters
Load balancing in homogeneous broadcast distributed systems
Proceedings of the Computer Network Performance Symposium
Grid resource management
Self-Organizing Agents for Grid Load Balancing
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Grid load balancing using an echo system of intelligent ants
PDCN'06 Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks
Task Scheduling in Grid Based on Particle Swarm Optimization
ISPDC '06 Proceedings of the Proceedings of The Fifth International Symposium on Parallel and Distributed Computing
Artificial life techniques for load balancing in computational grids
Journal of Computer and System Sciences
Using artificial life techniques for distributed grid job scheduling
Proceedings of the 2009 ACM symposium on Applied Computing
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Scheduling jobs on computational grids using fuzzy particle swarm algorithm
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Ant colony optimization for routing and load-balancing: survey and new directions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A hybrid policy for fault tolerant load balancing in grid computing environments
Journal of Network and Computer Applications
An enhanced load balancing mechanism based on deadline control on GridSim
Future Generation Computer Systems
Formal QoS Policy Based Grid Resource Provisioning Framework
Journal of Grid Computing
Advances in Engineering Software
Energy-Aware Scheduling on Multicore Heterogeneous Grid Computing Systems
Journal of Grid Computing
Software Survey: Distributed job scheduling based on Swarm Intelligence: A survey
Computers and Electrical Engineering
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With the rapid growth of data and computational needs, distributed systems and computational Grids are gaining more and more attention. The huge amount of computations a Grid can fulfill in a specific amount of time cannot be performed by the best supercomputers. However, Grid performance can still be improved by making sure all the resources available in the Grid are utilized optimally using a good load balancing algorithm. This research proposes two new distributed swarm intelligence inspired load balancing algorithms. One algorithm is based on ant colony optimization and the other algorithm is based on particle swarm optimization. A simulation of the proposed approaches using a Grid simulation toolkit (GridSim) is conducted. The performance of the algorithms are evaluated using performance criteria such as makespan and load balancing level. A comparison of our proposed approaches with a classical approach called State Broadcast Algorithm and two random approaches is provided. Experimental results show the proposed algorithms perform very well in a Grid environment. Especially the application of particle swarm optimization, can yield better performance results in many scenarios than the ant colony approach.