A Novel Optimal Load Distribution Algorithm for Divisible Loads
Cluster Computing
Real-Time Divisible Load Scheduling with Different Processor Available Times
ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
A2DLT: Divisible Load Balancing Model for Scheduling Communication-Intensive Grid Applications
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Scheduling Divisible Real-Time Loads on Clusters with Varying Processor Start Times
RTCSA '08 Proceedings of the 2008 14th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
A method for scheduling heterogeneous multi-installment systems
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
New method for scheduling heterogeneous multi-installment systems
Future Generation Computer Systems
A new method for job scheduling in two-levels hierarchical systems
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
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During the last decade, the use of parallel and distributed systems has become more common. In these systems, a huge chunk of data or computation is distributed among many systems in order to obtain better performance. Dividing data is one of the challenges in this type of systems. Divisible Load Theory (DLT) is proposed method for scheduling data distribution in parallel or distributed systems. In many researches carried out in this field, it was assumed that all processors are dedicated for grid system but that is not always true in real systems. The limited number of studies which attended to this reality assumed that systems are homogeneous and presented some algorithms or closedformulas for scheduling jobs in a System with Different Processors Availability Time (SDPAT). In this article, we propose a new algorithm for scheduling jobs in a heterogeneous SDPAT.