Title | Zipf's Distribution Caching Application in Named Data Networks |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Navrotsky, Yaroslav, Patsei, Natallia |
Conference Name | 2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) |
Keywords | Buildings, caching policies, Conferences, Data models, Human Behavior, information-centric networking, Liquid crystal displays, mindset, Model, named data networking, named data networks, performance evaluation, probability, pubcrawl, Resiliency, Scalability, Software, Zipf's law |
Abstract | One of the most innovative directions in the Internet is Information Centric Networks, in particular the Named Data Network. This approach should make it easier to find and retrieve the desired information on the network through name-based addressing, intranet caching and other schemes. This article presents Named Data Network modeling, results and performance evaluation of proposed caching policies for Named Data Network research, taking into account the influence of external factors on base of Zipf's law and uniform distribution. |
DOI | 10.1109/eStream53087.2021.9431445 |
Citation Key | navrotsky_zipfs_2021 |