Distributed GA for popularity based partial cache management in ICN

Alaa Mohammed A.a., Koji Okamura

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    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.

    Original languageEnglish
    DOIs
    Publication statusPublished - Jun 18 2014
    Event9th International Conference on Future Internet Technologies, CFI 2014 - Tokyo, Japan
    Duration: Jun 18 2014Jun 20 2014

    Other

    Other9th International Conference on Future Internet Technologies, CFI 2014
    CountryJapan
    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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