期刊导航

论文摘要

一种考虑网络能效优化的队列管理方法

A Queue Management Method Based on Optimized Network Energy Efficiency

作者:蒋丽丽(重庆工商大学融智学院大数据研究所);陈国彬(重庆工商大学融智学院大数据研究所);张广泉(重庆工商大学融智学院大数据研究所; 中国科学院计算机科学国家重点实验室)

Author:JIANG Li-Li(Big Data Institute of Rongzhi College, Chongqing Technology and Business University);CHEN Guo-Bin(Big Data Institute of Rongzhi College, Chongqing Technology and Business University);ZHANG Guang-Quan(Big Data Institute of Rongzhi College, Chongqing Technology and Business University; Computer Science, Chinese Academy of Sciences)

收稿日期:2016-05-05          年卷(期)页码:2017,54(3):499-503

期刊名称:四川大学学报: 自然科学版

Journal Name:Journal of Sichuan University (Natural Science Edition)

关键字:队列管理方法;网络能效;混合引力搜索算法;队列长度

Key words:Queue Management Method; Network Energy Efficiency; Hybrid Gravitional Search Algorithm; Queue Length

基金项目:

中文摘要

针对网络数据传输过程中传输速率慢、网络能耗高等问题,本文基于混合引力搜索算法(Hybrid Gravitional Search Algorithm,HGSA)提出了一种队列管理方法。该方法首先给出了网络能效评价指标,以此衡量网络的有效信息容量和传输速率。同时利用混合引力搜索算法来对队列管理方法进行优化。最后通过数学仿真,分析了队列长度、数据包大小等对网络能效的影响,结果证明了该方法具有较好的适应性。

英文摘要

In order to promote the network data transmission rate and the energy efficiency of the network, a queue management method is proposed by hybrid Gravitional search algorithm. At first, the indexes of energy efficiency are defined, which are measured the effective information capacity and transmission rate. Then, the queue management method is optimized with hybrid Gravitional search algorithm. Finally, the mathematical simulation is conducted to analyze the influence of queue length and packet size on network energy efficiency. The results show that it has better adaptability.

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