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Efficiently allocating distributed caching resources in future smart networks

Abstract : During the last decade, Internet Service Providers (ISPs) infrastructure has undergone a major metamorphosis driven by new networking paradigms, namely: Software Defined Networks (SDN) and Network Function Virtualization (NFV). The upcoming advent of 5G will certainly represent an important achievement of this evolution. In this context, static (planning) or dynamic (on-demand) caching resources placement remains an open issue. In this paper, we propose a new technique to achieve the best trade-off between the centralization of resources and their distribution, through an efficient placement of caching resources. To do so, we model the cache resources allocation problem as a multi-objective optimization problem, which is solved using Greedy Randomized Adaptive Search Procedures (GRASP). The obtained results confirm the quality of the outcomes compared to an exhaustive search method and show how a cache allocation solution depends on the network's parameters and on the performance metrics that we want to optimize.
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Contributor : Yassine Hadjadj Aoul Connect in order to contact the contributor
Submitted on : Saturday, November 24, 2018 - 11:22:19 PM
Last modification on : Saturday, August 6, 2022 - 3:32:40 AM
Long-term archiving on: : Monday, February 25, 2019 - 12:59:20 PM


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Hamza Ben Ammar, Yassine Hadjadj-Aoul, Soraya Aït-Chellouche. Efficiently allocating distributed caching resources in future smart networks. CCNC 2019 - 16th IEEE Consumer Communications & Networking Conference, Jan 2019, Las Vegas, United States. pp.1-4, ⟨10.1109/CCNC.2019.8651854⟩. ⟨hal-01933973⟩



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