Presentation 2022-03-11
A User Allocation Scheme for DASH Multi-Servers Considering Coalition Structure Generation
Kazuma Inomata, Sumiko Miyata,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In order to improve the QoE of users in DASH streaming communication, multi-servers are used to pseudo-increase the bandwidth by setting up a series of servers. In order to allocate users to these multi-servers, existing methods use cooperative game theory. However, since it does not take into account the dynamic changes in DASH, there is a problem of users concentrating on a particular server at the start of playback. In this paper, we propose an user allocation method by using cooperative structure formation problem to avoid the concentration of users and improve the QoE of all users.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) DASH / QoE / Game Theory / Coalition Structure Generation
Paper # IN2021-38
Date of Issue 2022-03-03 (IN)

Conference Information
Committee NS / IN
Conference Date 2022/3/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Akihiro Nakao(Univ. of Tokyo) / Kenji Ishida(Hiroshima City Univ.)
Vice Chair Tetsuya Oishi(NTT) / Kunio Hato(Internet Multifeed)
Secretary Tetsuya Oishi(NTT) / Kunio Hato(Chuo Univ.)
Assistant Kotaro Mihara(NTT)

Paper Information
Registration To Technical Committee on Network Systems / Technical Committee on Information Networks
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A User Allocation Scheme for DASH Multi-Servers Considering Coalition Structure Generation
Sub Title (in English)
Keyword(1) DASH
Keyword(2) QoE
Keyword(3) Game Theory
Keyword(4) Coalition Structure Generation
1st Author's Name Kazuma Inomata
1st Author's Affiliation Shibura Institute of Technology(SIT)
2nd Author's Name Sumiko Miyata
2nd Author's Affiliation Shibura Institute of Technology(SIT)
Date 2022-03-11
Paper # IN2021-38
Volume (vol) vol.121
Number (no) IN-434
Page pp.pp.43-48(IN),
#Pages 6
Date of Issue 2022-03-03 (IN)