基于神经网络的多目标进化算法的云动态工作流调度

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Communication Networks and Distributed Systems Pub Date : 2021-01-01 DOI:10.1504/ijcnds.2021.10040231

Paras Agarwal, Siddarth Chandra, K. Naik

引用次数: 2

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dynamic Workflow Scheduling in Cloud using Neural Network based Multi-Objective Evolutionary Algorithm

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来源期刊

International Journal of Communication Networks and Distributed Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.50

自引率

46.20%

发文量

期刊介绍： IJCNDS aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.