English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 18034/20233 (89%)
造訪人次 : 23350086      線上人數 : 487
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://ir.cnu.edu.tw/handle/310902800/26976


    標題: Energy Efficiency Based on High Performance Particle Swarm Optimization: A Case
    作者: Liao, Ming-Yi
    Tsai, Chun-Wei
    Yang, Chu-Sing
    Chiang, Ming-Chao
    Lai, Chin-Feng
    貢獻者: 應用空間資訊系
    關鍵字: Clustering algorithm
    Green computing
    Particle swarm optimization
    日期: 2011-01
    上傳時間: 2013-10-14 14:57:47 (UTC+8)
    出版者: Springer
    摘要: Finding solutions to green manufacturing, green production, and increasing energy efficiency is definitely our responsibility to resist changing the vulnerable environment dramatically. Over the past, several practical techniques have been proposed to reduce the greenhouse gas emissions, e.g., increasing energy efficiency, reducing power usage, using sustainable energy, and recycling. This paper first gives a brief review of green computing and then presents a case study for energy efficiency called energy efficient particle swarm optimization (EEPSO). The proposed algorithm integrates particle swarm optimization and triangle inequality for improving energy efficiency of computers, by using the clustering results to adjust the CPU frequency of network management system. Simulation results show that not only can the proposed algorithm significantly reduce the computation time, but it can also be extended to enhance the performance of network traffic control system to further reduce the power they consume.
    關聯: Telecommunication Systems , 52(2), pp.1293-1304
    顯示於類別:[應用空間資訊系(所)] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML1475檢視/開啟


    在CNU IR中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋