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Optimization in distributed information systems
DOI:10.1016/j.jocs.2018.04.020.png)
摘要
En 中文
In past decades, intensive attention has been drawn towards the optimization problem, such as task scheduling, resource allocation and network traffic management, in distributed information systems. However, the rapid increases in the scale of physical devices and types of applications in distributed information systems make the system more difficult to be operated and managed. Optimizing the system performance is an ongoing challenging and important issue. This special issue reports twelve high-quality contributions on solving the challenging optimization problems in distributed information systems. (C) 2018 Published by Elsevier B.V.
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期刊
IF:
18.3
论文数:
3.1K
被引数:
4.0K
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引用论文
GA-ETI: An enhanced genetic algorithm for the scheduling of scientific workflows in cloud environmentsGa-eti: 一种用于云环境中科学工作流调度的增强型遗传算法

