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DOI:
计算机系统应用英文版:2015,24(6):215-219
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基于数据的任务规划在复杂网络中的应用
(61139部队, 北京 100091)
Application Study of Data-Based Task Planning in Complex Networks
(61139 Troop, Beijing 100091, China)
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Received:September 22, 2014    Revised:November 06, 2014
中文摘要: 复杂网络中目标任务的变化能够引起网络的自身演化, 如何对任务负载进行平衡是提高网络自身性能的关键问题之一, 以区域快递网络为研究对象, 提出了基于动态数据和静态数据对对象进行配置、拆分、添加和抛弃的负载平衡规则, 研究了其在任务规划中对网络负载平衡起到的作用, 实验结果表明, 提出的规则能够有效提高类似网络的稳定性和网络资源的合理配置.
Abstract:The task changes of Complex Network can cause the evolvement of the network, one of the key problems is how to balance the task load to improve the network's performance. The load balancing rules to configure, divide, add and abandon the object were proposed based on the static and dynamic data with regional express network used as the research object. And then the action of the rules to the load balancing in the task planning was studied. The experimental results show that the rules proposed can effectively improve the stability of similar network and promote the rational use of the network resources.
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董玮,毕于慧,闫丽丽,张权.基于数据的任务规划在复杂网络中的应用.计算机系统应用,2015,24(6):215-219
DONG Wei,BI Yu-Hui,YAN Li-Li,ZHANG Quan.Application Study of Data-Based Task Planning in Complex Networks.COMPUTER SYSTEMS APPLICATIONS,2015,24(6):215-219