Future Generation Computer Systems - Special issue on metacomputing
A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
A Resource Management Architecture for Metacomputing Systems
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
An Integrated Approach to Parallel Scheduling Using Gang-Scheduling, Backfilling, and Migration
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
Performance Evaluation with Heavy Tailed Distributions
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Matchmaking: Distributed Resource Management for High Throughput Computing
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
Design and Evaluation of a Resource Selection Framework for Grid Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Dynamic Mapping in a Heterogeneous Environment with Tasks Having Priorities and Multiple Deadlines
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Optimal Algorithms for Scheduling Divisible Workloads on Heterogeneous Systems
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Editorial: semantics, resource and grid
Future Generation Computer Systems - Special issue: Semantic grid and knowledge grid: the next-generation web
Adaptive Scheduling for Task Farming with Grid Middleware
International Journal of High Performance Computing Applications
China's E-Science Knowledge Grid Environment
IEEE Intelligent Systems
Logistical quality of service in NetSolve
Computer Communications
A probabilistic scheduling heuristic for computational grids
Multiagent and Grid Systems
Efficient Hierarchical Parallel Genetic Algorithms using Grid computing
Future Generation Computer Systems
Efficient task replication and management for adaptive fault tolerance in mobile Grid environments
Future Generation Computer Systems - Special section: Information engineering and enterprise architecture in distributed computing environments
Future Generation Computer Systems - Special section: Information engineering and enterprise architecture in distributed computing environments
A method for job scheduling in Grid based on job execution status
Multiagent and Grid Systems
Future Generation Computer Systems
International Journal of Web and Grid Services
Improving the performance of Federated Digital Library services
Future Generation Computer Systems
An ant algorithm for balanced job scheduling in grids
Future Generation Computer Systems
A reinforcement learning framework for utility-based scheduling in resource-constrained systems
Future Generation Computer Systems
A parallel solution for scheduling of real time applications on grid environments
Future Generation Computer Systems
An innovative perspective on mapping in grids
BADS '09 Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems
An integrated security-aware job scheduling strategy for large-scale computational grids
Future Generation Computer Systems
An adaptive multisite mapping for computationally intensive grid applications
Future Generation Computer Systems
Scheduling jobs on computational grids using a fuzzy particle swarm optimization algorithm
Future Generation Computer Systems
Observations on Effect of IPC in GA Based Scheduling on Computational Grid
International Journal of Grid and High Performance Computing
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This paper proposes two models for predicting the completion time of jobs in a service Grid. The single service model predicts the completion time of a job in a Grid that provides only one type of service. The multiple services model predicts the completion time of a job that runs in a Grid which offers multiple types of services. We have developed two algorithms that use the predictive models to schedule jobs at both system level and application level. In application-level scheduling, genetic algorithms are used to minimize the average completion time of jobs through optimal job allocation on each node. The experimental results have shown that the scheduling system using the adaptive scheduling algorithms can allocate service jobs efficiently and effectively.