Annals of Operations Research - Special issue on Tabu search
An introduction to genetic algorithms
An introduction to genetic algorithms
Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors
Journal of the ACM (JACM)
Dynamic Matching and Scheduling of a Class of Independent Tasks onto Heterogeneous Computing Systems
HCW '99 Proceedings of the Eighth Heterogeneous Computing Workshop
A Parallel Ant Colony Optimization Algorithm for All-Pair Routing in MANETs
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Load-balancing scatter operations for grid computing
Parallel Computing
A hybrid load balancing policy underlying grid computing environment
Computer Standards & Interfaces
Design and analysis of a load balancing strategy in data grids
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Artificial life techniques for load balancing in computational grids
Journal of Computer and System Sciences
A hybrid load balancing strategy of sequential tasks for grid computing environments
Future Generation Computer Systems
Journal of Systems and Software
Grid resource management policies for load-balancing and energy-saving by vacation queuing theory
Computers and Electrical Engineering
Grid load balancing using intelligent agents
Future Generation Computer Systems
Hierarchical branch and bound algorithm for computational grids
Future Generation Computer Systems
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Grid computing is a network of software-hardware capabilities. It serves as a comprehensive and complete system for organizations by which the maximum utilization from resources is achieved. Resource distribution in a heterogeneous and unstable environment and also effective load distribution among these resources are the important and difficult problems in Grid networks. Using dynamic and static algorithms or searching tree and Branch and Bound algorithm are considered to be among the available methods to reach the load balancing in Grid networks. This paper presents a new method for dynamic load balancing. In this method, we use the subtraction of forward and backward ants as a competency rank to take the priority of the sites, and we use a control word to search the suitable resource as well. Our main purpose is to devote jobs to the existing resources based on their processing power. Simulation results show that the proposed method can reduce the total completion time and also total tardiness to get the load balancing. The cost of using resources as an effective factor in load balancing is also observed.