Ant-like agents for load balancing in telecommunications networks
AGENTS '97 Proceedings of the first international conference on Autonomous agents
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Agent-Based Grid Load Balancing Using Performance-Driven Task Scheduling
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Self-Organizing Agents for Grid Load Balancing
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Grid load balancing using intelligent agents
Future Generation Computer Systems
Ant colony optimization theory: a survey
Theoretical Computer Science
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
A hybrid load balancing policy underlying grid computing environment
Computer Standards & Interfaces
Artificial life techniques for load balancing in computational grids
Journal of Computer and System Sciences
Messor: load-balancing through a swarm of autonomous agents
AP2PC'02 Proceedings of the 1st international conference on Agents and peer-to-peer computing
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 system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Ant colony optimization for routing and load-balancing: survey and new directions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
ozmos: bio-inspired load balancing in a chord-based P2P grid
Proceedings of the 3rd workshop on Biologically inspired algorithms for distributed systems
Swarm Intelligence Approaches for Grid Load Balancing
Journal of Grid Computing
The grid, the load and the gradient
Natural Computing: an international journal
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Grids are an emerging infrastructure providing distributed access to computational and storage resources. Handling many incoming requests at the same time and distributing the workload efficiently is a challenge which load balancing algorithms address. Current load balancing implementations for the Grid are central in nature and therefore prone to the single point of failure problem. This paper introduces two distributed artificial life-inspired load balancing algorithms using Ant Colony Optimization and Particle Swarm Optimization. Distributed load balancing stands out as a robust algorithm in regard to any topology changes in the network. The implementation details are given and evaluation results show the efficiency of the two distributed load balancing algorithms.