Communications of the ACM
Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms
Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Parallel and Distributed Computation: Numerical Methods
Parallel and Distributed Computation: Numerical Methods
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
A learning system based on genetic adaptive algorithms
A learning system based on genetic adaptive algorithms
Scheduling Algorithms
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Data Mining and Knowledge Discovery Handbook
Data Mining and Knowledge Discovery Handbook
Handbook on Scheduling: Models and Methods for Advanced Planning (International Handbooks on Information Systems)
Computational Intelligence: Concepts to Implementations
Computational Intelligence: Concepts to Implementations
Mining performance data for metascheduling decision support in the grid
Future Generation Computer Systems - Special section: Data mining in grid computing environments
A Dynamic Resource Broker and Fuzzy Logic Based Scheduling Algorithm in Grid Environment
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
Dynamic Grid Resource Scheduling Model Using Learning Agent
NAS '09 Proceedings of the 2009 IEEE International Conference on Networking, Architecture, and Storage
Competitive coevolutionary learning of fuzzy systems for job exchange in computational grids
Evolutionary Computation
A fuzzy neural network based scheduling algorithm for job assignment on computational grids
NBiS'07 Proceedings of the 1st international conference on Network-based information systems
Taxonomy of grid business models
GECON'07 Proceedings of the 4th international conference on Grid economics and business models
Robust Load Delegation in Service Grid Environments
IEEE Transactions on Parallel and Distributed Systems
Knowledge acquisition in fuzzy-rule-based systems with particle-swarm optimization
IEEE Transactions on Fuzzy Systems
Genetic fuzzy rule-based scheduling system for grid computing in virtual organizations
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel 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
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Scheduling in computational grids addresses the allocation of computing jobs to globally distributed compute resources. In a frequently changing resource environment, scheduling decisions have to be made rapidly. Depending on both the job properties and the current state of the resources, those decisions are different. Thus, the performance of grid scheduling systems highly depends on their adaptivity and flexibility in changing environments. Under these conditions, methods from knowledge discovery yielded significant success to augment and substitute conventional grid scheduling techniques. This paper presents a survey on approaches to extract, represent, and utilize knowledge to improve the grid scheduling performance. It aims to give researchers insight into techniques used for knowledge-supported scheduling in large-scale distributed computing environments. © 2012 Wiley Periodicals, Inc. © 2012 Wiley Periodicals, Inc.