An Artificial Immune System for Heterogeneous Multiprocessor Scheduling with Task Duplication

Lee, Young Choon; Zomaya, Albert Y.

doi:10.1109/ipdps.2007.370429

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…The most popular cluster methods are Dominant Sequence Clustering (DSC) [12]. The nondeterministic includes population-based algorithms such as PMC GA [13]. The method takes longer time to find scheduling solutions compared with the above methods.…”

Section: Related Workmentioning

confidence: 99%

Immune Scheduling Network Based Method for Task Scheduling in Decentralized Fog Computing

Wang

Guo

2018

Wireless Communications and Mobile Computing

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Fog computing has changed the distributed computing rapidly by including the smart devices widely distributed at the network edges. It is able to provide less latency and is more capable of decreasing traffic jam in the network. However, it will bring more difficulties for resource managing and task scheduling especially in a decentralized ad hoc network. In this paper, we propose a method that takes advantages of the immune mechanism to schedule tasks in a decentralized way for fog computing. By using forward propagation and backward propagation in the ad hoc network, the power of distributed schedulers is used to generate the optimized scheduler strategies to deal with computing nodes overloaded and achieve the optimal task finishing time reducing. The experiment results show that our approach can beat similar methods.

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Section: Related Workmentioning

confidence: 99%