Task differentiation in Polistes wasp colonies: a model for self-organizing groups of robots
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Evaluation of Job-Scheduling Strategies for Grid Computing
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
A Benefit Function Mapping Heuristic for a Class of Meta-Tasks in Grid Environments
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
An efficient A* algorithm for the directed linear arrangement problem
WSEAS Transactions on Computers
Using A* algorithm for directed linear arrangement problem
MAMECTIS'08 Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
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Task scheduling is one of the effective methods in grid computing environment. In this paper, we introduce swarm intelligence mechanism into task scheduling, and propose a new dynamic task-scheduling algorithm. This algorithm is used in the simple resource pool model and can effectively organize independent tasks based on the interaction model between a wasp colony and its environment. Through the experiment, the algorithm has been proved more efficient and more adaptive to the dynamic grid environment than other ones in the simple resource pool model of grid environment.