Journal of Parallel and Distributed Computing - Special issue on parallel evolutionary computing
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing
IEEE Transactions on Parallel and Distributed Systems
A Genetic Algorithm for Multiprocessor Scheduling
IEEE Transactions on Parallel and Distributed Systems
NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
Using a utility computing framework to develop utility systems
IBM Systems Journal
Dynamic scheduling of scientific workflow applications on the grid: a case study
Proceedings of the 2005 ACM symposium on Applied computing
Scheduling of scientific workflows in the ASKALON grid environment
ACM SIGMOD Record
Task scheduling strategies for workflow-based applications in grids
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Application-Level Resource Provisioning on the Grid
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
Grid-Enabled Workflows for Industrial Product Design
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
Scheduling strategies for mapping application workflows onto the grid
HPDC '05 Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium
Scientific Programming - Scientific Workflows
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
Multiobjective differential evolution for workflow execution on grids
Proceedings of the 5th international workshop on Middleware for grid computing: held at the ACM/IFIP/USENIX 8th International Middleware Conference
Reliability-Oriented Genetic Algorithm for Workflow Applications Using Max-Min Strategy
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
A robust multi-objective optimization to workflow scheduling for dynamic grid
ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
Future Generation Computer Systems
Scheduling and planning job execution of loosely coupled applications
The Journal of Supercomputing
Budget-Deadline constrained workflow planning for admission control in market-oriented environments
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
A Multi-objective Approach for Workflow Scheduling in Heterogeneous Environments
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Deadline-constrained workflow scheduling algorithms for Infrastructure as a Service Clouds
Future Generation Computer Systems
Reference Point Based Multi-Objective Optimization to Workflow Grid Scheduling
International Journal of Applied Evolutionary Computation
Meta-schedulers for grid computing based on multi-objective swarm algorithms
Applied Soft Computing
Computational Optimization and Applications
Budget-Deadline Constrained Workflow Planning for Admission Control
Journal of Grid Computing
Energy-Aware Scheduling on Multicore Heterogeneous Grid Computing Systems
Journal of Grid Computing
A genetic algorithm for multi-objective optimisation in workflow scheduling with hard constraints
International Journal of Metaheuristics
Multi-objective list scheduling of workflow applications in distributed computing infrastructures
Journal of Parallel and Distributed Computing
An agent based network resource planner for workflow applications
Multiagent and Grid Systems - Agent Based Computing: From Model to Implementation
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Utility Grids create an infrastructure for enabling users to consume services transparently over a global network. When optimizing workflow execution on utility Grids, we need to consider multiple Quality of Service (QoS) parameters including service prices and execution time. These optimization objectives may be in conflict. In this paper, we have proposed a workflow execution planning approach using multi-objective evolutionary algorithms (MOEAs). Our goal was to generate a set of trade-off scheduling solutions according to the users QoS requirements. The alternative trade-off solutions offer more flexibility to users when estimating their QoS requirements of workflow executions. Simulation results show that MOEAs are able to find a range of compromise solutions in a short computational time.