研究生: |
黃睿彥 Ruei-Yan - Huang |
---|---|
論文名稱: |
軟體定義網絡中的能量感知路由 Energy Aware Routing in Software Defined Networks |
指導教授: |
金台齡
Tai-Lin Chin |
口試委員: |
黃琴雅
Chin-Ya Huang 沈上翔 Shan-Hsiang Shen 呂政修 Jenq-Shiou Leu |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 資訊工程系 Department of Computer Science and Information Engineering |
論文出版年: | 2017 |
畢業學年度: | 105 |
語文別: | 英文 |
論文頁數: | 37 |
中文關鍵詞: | 軟體定義網路 、能量感之路由 |
外文關鍵詞: | software defined network, energy aware routing |
相關次數: | 點閱:399 下載:1 |
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由於網際網路與通信科技帶動資訊與通信科技產業(Information and Communication Technology, ICT) 的發展以及近幾年物聯網(Internet of Things) 的興起,ICT產業的能源消耗逐年提高,為了降低全球暖化與能源短缺的危機,減少能源的消耗是一件刻不容緩的事。軟體定義網路(Software Defined Network, SDN) 為近幾年推出的一種新型態網路架構,在過去幾年SDN 的應用包含虛擬網路、整合運算功能、頻寬管理、能源感知路由等等。本篇論文將探討在SDN 架構下的能源感知路由方法。本文在研究在SDN 網路中的能量感知路由方法,目的在減少網路中使用的鏈結數量,使得能量消耗可以減少。我們將能量消耗問題化為整數線性規劃(ILP)方程式並提出一個創新的演算法,即靜態能量感知路由(SEAR),以降低能量消耗。此外,因流量需求會不時地出現或消失,我們考慮流量需求的動態屬性,並提出另一個演算法,及動態能量感知路由(DEAR)以降低計算時間。實驗結果顯示本篇提出的演算法較現有的演算法更有效率。
The Internet and communications technology brings the growth of Information and Communication Technology (ICT) industry and the rise of the Internet of Things (IoT). However, the power consumption of ICT industry increases every year. The energy consumption is a critical factor causing the energy crisis and global warming issues, and thus approaches are needed to effective reduce the power usage ICT. Software Defined Network (SDN) is a modern network architecture introduced recently to adaptively manage network resources. Several applications such as virtual network, integrated computing capability, bandwidth management, energy aware routing, etc. are also supported in SDN. In this paper, we investigate energy aware routing methods aimed to efficiently decrease the number of used links for packet delivery in SDN enabled networks so that the energy consumption can be reduced. Specifically, we formulate the energy consumption problem into an integer linear programming (ILP) problem, and propose an innovative algorithm namely SEAR to route flows in an energy efficient manner. Thus, low energy consumption can be properly supported without expensive computational cost. Moreover, from existing energy aware routing schemes which only consider static demands, we also consider the dynamic properties of demands since the flows join or leave the networks from time to time, and propose another algorithm namely DEAR to reduce the processing time. The evaluation results show that the proposed algorithms are more energy efficient than the existing energy aware routing algorithms, and can better support traffic flows in real world than the existing energy aware routing algorithms.
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