Distributed GA for popularity based partial cache management in ICN

Alaa Mohammed A.a., Koji Okamura

    研究成果: Contribution to conferencePaper査読

    抄録

    Information Centric Networks (ICNs) is a new architecture for the Future Internet to deliver content at large-scale. It relies on named data and caching features, which consists of storing content across the delivery path to serve forthcoming requests. In this paper, we study the problem of finding the optimal assignment of the objects in the available caches in ICN. The optimization problem is to cache objects in order to minimize overall network overhead. We formulate this problem as a combinatorial optimization problem. We show that this optimization problem is NP complete. Metaheuristic methods are considered as effective methods for solving this problem, Genetic Algorithm (GA) is one of those algorithms that can solve this problem efficiently. We will adapt cache management system based on GA for solving the considered problem. In contrast to traditional locally caching systems this algorithm consider both global and local search and make caching decisions about where and which item will be cached in order to minimize overall network overhead.

    本文言語英語
    DOI
    出版ステータス出版済み - 6 18 2014
    イベント9th International Conference on Future Internet Technologies, CFI 2014 - Tokyo, 日本
    継続期間: 6 18 20146 20 2014

    その他

    その他9th International Conference on Future Internet Technologies, CFI 2014
    Country日本
    CityTokyo
    Period6/18/146/20/14

    All Science Journal Classification (ASJC) codes

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications

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