GA for Popularity Based Cache Management in ICN
A. A. Alaa Mohammed, Koji Okamura · Proceedings of the Asia-Pacific Advanced Network · 2014
One paragraph only. 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 popular contents in the available caches storage in ICN. We formulate this problem as a combinatorial optimization problem. Metaheuristic methods are considered as effective methods for solving this problem. We will adapt cache management system based on GA for solving the considered problem in order to minimize overall network overhead.