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On models for performance evaluation and cache resources placement in multi-cache networks

Abstract : In the last few years, Content Providers (CPs) have experienced a high increase in requests for video contents and rich media services. In view of the network scaling limitations and beyond Content Delivery Networks (CDNs), Internet Service Providers (ISPs) are developing their own caching systems in order to improve the network performance. These factors explain the enthusiasm around the Content-Centric Networking (CCN) concept and its in-network caching feature. The analytical quantification of caching performance is, however, not sufficiently explored in the literature. Moreover, setting up an efficient caching system within a network infrastructure is very complex and remains an open problem. To address these issues, we provide first in this thesis a fairly generic and accurate model of caching nodes named MACS (Markov chain-based Approximation of Caching Systems) that can be adapted very easily to represent different caching schemes and which can be used to compute different performance metrics of multi-cache networks. We tackled after that the problem of cache resources allocation in cache-enabled networks. By means of our analytical tool MACS, we present an approach that solves the trade-off between different performance metrics using multi-objective optimization and we propose an adaptation of the metaheuristic GRASP to solve the optimization problem.
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Submitted on : Thursday, April 25, 2019 - 9:33:06 AM
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  • HAL Id : tel-02109693, version 1

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Hamza Ben Ammar. On models for performance evaluation and cache resources placement in multi-cache networks. Networking and Internet Architecture [cs.NI]. Université Rennes 1, 2019. English. ⟨NNT : 2019REN1S006⟩. ⟨tel-02109693⟩

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