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المؤلفHe, Wenji
المؤلفYao, Haipeng
المؤلفMai, Tianle
المؤلفGuizani, Mohsen
تاريخ الإتاحة2022-11-14T07:32:24Z
تاريخ النشر2020-12-12
اسم المنشور2020 3rd International Conference on Hot Information-Centric Networking, HotICN 2020
المعرّفhttp://dx.doi.org/10.1109/HotICN50779.2020.9350795
الاقتباسHe, W., Yao, H., Mai, T., & Guizani, M. (2020, December). Programmable Switch Aided Content Popularity Prediction and Caching Strategy. In 2020 3rd International Conference on Hot Information-Centric Networking (HotICN) (pp. 188-193). IEEE.‏
الترقيم الدولي الموحد للكتاب 9781728192161
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85102108929&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/36293
الملخصContent distribution is the most critical task for the current Internet, (e.g., the estimated video traffic will reach 82 percent of the Internet traffic by 2022). With the fast increase of load of the network, traditional host-centric based network paradigm (i.e., TCP/IP) faces great challenges in terms of efficiency, security, and privacy. To solve the problems confronting the current Internet, the Information-Centric Network (ICN) becomes a promising solution, where the focal point is identified content rather than specific host addresses. This paradigm brings many benefits, e.g., network traffic reduction, low retrieval latency. Besides, benefiting from the advance of programmable network hardware, the operator can reconfigure the network hardware' behavior, thus providing hardware support to describe the ICN instances. However, ICN also poses new challenges to cache management. The cache redundancy and unequal resource allocation will seriously affect the performance of the network. In this paper, we propose a distributed variational Bayes aided content popularity prediction algorithm. The extensive and indepth simulations are performed to evaluate our proposed algorithm in comparison to the other state-of-the-art schemes.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعcache
content popularity
distributed variational bayes
ICN
العنوانProgrammable Switch Aided Content Popularity Prediction and Caching Strategy
النوعConference Paper
الصفحات188-193
dc.accessType Abstract Only


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