| 大会名称 |
| 2017年 総合大会 |
| 大会コ－ド |
| 2017G |
| 開催年 |
|
2017
|
| 発行日 |
|
|
| セッション番号 |
|
BS-1
|
| セッション名 |
|
Advanced Technologies in Communication, Networking, and its Innovative Application for Future Information Network Society
|
| 講演日 |
|
2017/3/23
|
| 講演場所(会議室等) |
|
共通講義棟東 301
|
| 講演番号 |
|
BS-1-19
|
| タイトル |
|
Throughput prediction by combining Autoregressive Model and Hidden Markov Model
|
| 著者名 |
|
◎Bo Wei, Kenji Kanai, Jiro Katto,
|
| キーワード |
|
throuhgput, AR model, HMM
|
| 抄録 |
|
The realization of TCP throughput prediction could contribute a lot to adaptive bitrate control, which regulates video streaming to provide freeze-less service, and save energy consumption simultaneously. Thus, this paper tries to construct a proper model to predict possible future throughput for real time communication.
|
| 本文pdf |
|
PDF download
|
