Scheduling parallel program tasks onto arbitrary target machines
Journal of Parallel and Distributed Computing - Special issue: software tools for parallel programming and visualization
Proceedings of the 1992 ACM/IEEE conference on Supercomputing
IEEE Transactions on Parallel and Distributed Systems
Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing
IEEE Transactions on Parallel and Distributed Systems
Hypertool: A Programming Aid for Message-Passing Systems
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
DSC: Scheduling Parallel Tasks on an Unbounded Number of Processors
IEEE Transactions on Parallel and Distributed Systems
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing
A New Approach to Scheduling Parallel Programs Using Task Duplication
ICPP '94 Proceedings of the 1994 International Conference on Parallel Processing - Volume 02
Improving Static Task Scheduling in Heterogeneous and Homogeneous Computing Systems
ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
Journal of Parallel and Distributed Computing
Scheduling Concurrent Bag-of-Tasks Applications on Heterogeneous Platforms
IEEE Transactions on Computers
Contention-aware scheduling with task duplication
Journal of Parallel and Distributed Computing
Task scheduling in heterogeneous distributed systems with security and QoS requirements
International Journal of Communication Networks and Distributed Systems
SPA-based task scheduling for hypercubic P2P grid systems
International Journal of Communication Networks and Distributed Systems
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Finding an effective schedule of tasks of distributed applications on the heterogeneous distributed computing systems is a trade-off between minimising the makespan and maximising the processor utilisation. The performance can be exploited in these systems through proper scheduling of application tasks. In this paper, a new task scheduling algorithm, called path-based heuristic task scheduling PHTS algorithm is proposed. The performance of the proposed algorithm is experimentally compared with the three existing scheduling algorithms. The results show that the PHTS algorithm outperforms other algorithms in terms of schedule length ratio, speedup and efficiency for applications with more tasks.