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Conference papers

Memory management optimization for content routers in DONA

Abstract : Nowadays, content retrieval is marking the Internet usage. User communications are no longer tied up to host interconnection. Information Centric Networking (ICN) models are proposed to cope with these changes. The new paradigm redesigns the Internet architecture to bring out content to the first level. Over the last decade, many key projects have proposed a large solution spectrum to rebuilt networking primitives focused on the content. One important and direct challenge of this shift is the large amount of routing states due to identifying contents rather than hosts. In this paper, we focus especially on DONA, one of the first ICN architecture, and analyse the required memory space to store routing states. Our study shows that today’s technologies are not able to satisfy the content routing needs. Thus, we propose an enhancement of DONA called BADONA to deal with this problem. It uses a Bloom filter to drastically reduce the usage of the memory space.
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Contributor : Thierry Turletti Connect in order to contact the contributor
Submitted on : Wednesday, February 3, 2016 - 8:18:20 AM
Last modification on : Wednesday, October 28, 2020 - 12:48:02 PM


  • HAL Id : hal-01266578, version 1



Amine Abidi, Sonia Mettali Gammar, Farouk Kamoun, Walid Dabbous, Thierry Turletti. Memory management optimization for content routers in DONA. IEEE 14th International Symposium on Network Computing and Applications (NCA), Sep 2015, Cambridge, United States. ⟨hal-01266578⟩



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