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Cache, process and forward in Information-centric networking

Abstract : This thesis investigates how making content caching and forwarding latency-aware can improve data delivery performance in Information-Centric Networks (ICN). We introduce a new mechanism that leverages retrieval time observations to decide whether to store an object in a network cache, based on the expected delivery time improvement. We demonstrate that our distributed latency-aware caching mechanism, LAC+, outperforms state of the art proposals and results in a reduction of the content mean delivery time and standard deviation of LRU caches by up to 60%, along with a fast convergence to these figures. In a second phase, we conjointly optimize the caching function and the multipath request forwarding strategies. To this purpose, we introduce the mixed forwarding strategy LB-Perf, directing the most popular content towards the same next hops to foster egress caches convergence, while load-balancing the others. Third, we address ICN fairness to contents. We show that traditional ICN caching, which favors the most popular objects, does not prevent the network from being globally fair, content-wise. The incidence of our findings comforts the ICN community momentum to improve LFU cache management policy and its approximations. We demonstrate that in-network caching leads to content-wise fair network capacity sharing as long as bandwidth sharing is content-wise fair. Finally, we contribute to the research effort aiming to help ICN Forwarding Information Base scale when confronted to the huge IoT era’s namespace.We propose AFFORD, a novel view on routing in named-data networking that combines machine learning and stochastic forwarding.
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Submitted on : Thursday, May 17, 2018 - 7:12:05 PM
Last modification on : Friday, July 31, 2020 - 10:44:09 AM
Long-term archiving on: : Monday, September 24, 2018 - 12:37:56 PM


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  • HAL Id : tel-01794776, version 1


Leonce Mekinda Mengue. Cache, process and forward in Information-centric networking. Networking and Internet Architecture [cs.NI]. Télécom ParisTech, 2016. English. ⟨NNT : 2016ENST0075⟩. ⟨tel-01794776⟩



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