Analysis of the File Distribution Time in Peer-to-Peer Network
- Авторлар: Bobrikova EV1, Gaidamaka Y.V1
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Мекемелер:
- Peoples’ Friendship University of Russia (RUDN University)
- Шығарылым: Том 26, № 1 (2018)
- Беттер: 84-92
- Бөлім: Computer Science
- URL: https://journals.rcsi.science/2658-4670/article/view/328297
- DOI: https://doi.org/10.22363/2312-9735-2018-26-1-84-92
- ID: 328297
Дәйексөз келтіру
Толық мәтін
Аннотация
Peer-to-peer (P2P) file sharing systems are responsible for a significant part of the Internettraffic today. File sharing is perhaps the most popular application among P2P applications. Incomparison with traditional Client/Server file distribution, P2P file sharing has some advantages,namely, scalability, bandwidth and others. In this paper we study the minimum distribution timefor getting the entire file by all of the users in the system, who need this file. This parameter isclosely associated with the mentioned bandwidth. The expression for the minimum distributiontime uses fluid-flow arguments and includes such terms as the file size, the upload rates of theseeds and the upload and download rates of the leechers. Using numerical examples and theexpression for the minimum distribution time, we show the efficiency of P2P file sharing. Weconsider the system behaviour, when there are two types of leechers in the system. These typesdiffer from each other by their upload bandwidths.
Негізгі сөздер
Авторлар туралы
E Bobrikova
Peoples’ Friendship University of Russia (RUDN University)
Хат алмасуға жауапты Автор.
Email: bobrikova_ev@rudn.university
Bobrikova E. V. - Candidate of Physical and Mathematical Sciences, senior lecturer of Department of Applied Probability and Informatics of Peoples’ Friendship University of Russia (RUDN University)
6 Miklukho-Maklaya St., Moscow, 117198, Russian FederationYu Gaidamaka
Peoples’ Friendship University of Russia (RUDN University)
Email: gaydamaka_yuv@rudn.university
Gaidamaka Yu. V. - Candidate of Physical and Mathematical Sciences, associate professor of Department of Applied Probability and Informatics of Peoples’ Friendship University of Russia (RUDN University)
6 Miklukho-Maklaya St., Moscow, 117198, Russian FederationӘдебиет тізімі
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