Genetic algorithm for optimizing and arrangement of queue in virtual networks

Heru Sukoco, Koji Okamura

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    1 被引用数 (Scopus)

    抄録

    Network visualization provides methods that simplify resource management, deal with connectivity and bandwidth constraints, and enable virtual network-connected machines through either a common layer 2 or layer 3 IP network of TCP/IP protocol suite. This paper presents an alternative optimization solution in maintaining the packets queue on a virtual router by using Genetic Algorithm. The objective of this research is to reduce a cost of network resources such as memory and time processes on a router. It is important for a company with limited cost when implements a network infrastructure. We defined a crossover probability and a mutation probability to 0.90 and 0.05. In our experiments, we still have unsatisfied results due to the average and the standard deviation of fitness values and slots needed in queues are 58,238.10 & 139,575.45 and 106.20 & 82.51, respectively. These values should be better by defining an appropriate fitness function in our next experiments. We still continue the research by examining an appropriate fitness function, Genetic Algorithm as a classifier, dynamic slot size, and also comparing with current queue managements such as first-in first-out and weighted fair queue.

    本文言語英語
    ホスト出版物のタイトルIMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011
    ページ670-675
    ページ数6
    出版ステータス出版済み - 2011
    イベントInternational MultiConference of Engineers and Computer Scientists 2011, IMECS 2011 - Kowloon, 香港
    継続期間: 3月 16 20113月 18 2011

    出版物シリーズ

    名前IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011
    1

    その他

    その他International MultiConference of Engineers and Computer Scientists 2011, IMECS 2011
    国/地域香港
    CityKowloon
    Period3/16/113/18/11

    !!!All Science Journal Classification (ASJC) codes

    • コンピュータサイエンス一般
    • 工学一般

    フィンガープリント

    「Genetic algorithm for optimizing and arrangement of queue in virtual networks」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル