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Apr 7, 2014 · Rule-based scheduling algorithms have been widely used on many cloud computing systems because they are simple and easy to implement.
This paper presents a novel heuristic scheduling algorithm, called hyper-heuristic scheduling algorithm (HHSA), to find better scheduling solutions for cloud ...
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The results show that HHSA can significantly reduce the makespan of task scheduling compared with the other scheduling algorithms evaluated in this paper, ...
1) A novel high-performance hyper-heuristic algorithm is proposed for scheduling on cloud computing systems to reduce the makespan. 2) Two detection operators— ...
Feb 27, 2021 · In this study, a new method is presented to improve the Hyper-Heuristic Scheduling Algorithm for the cloud using the decision tree method to ...
This study focuses on the presentation of a new algorithm for scheduling workflows on heterogeneous distributed systems such as cloud computing.
A hyper-heuristic algorithm is proposed to schedule cloud computing systems in [47] to reduce the makespan. Two detection operators -one for diversity detection ...
We believe that proposed hyper-heuristic achieve better results than other individual heuristics. KEYWORDS. Cloud Computing, Job Scheduling Problem, Hyper- ...
A Novel Hyper-heuristics scheduling algorithm is proposed to provide the best solution for cloud computing systems. Heuristics selection and the best policy ...
In this paper, we presents a hyper-heuristic algorithm based on reinforcement learning (HHRL) to optimize the completion time of the task sequence. Firstly, In ...