Tomoharu Imai, K. Horio, Takashi Ohno, Kazuki Matsui
{"title":"An adaptive desktop transfer protocol for mobile Thin Client","authors":"Tomoharu Imai, K. Horio, Takashi Ohno, Kazuki Matsui","doi":"10.1109/GLOCOMW.2010.5700112","DOIUrl":null,"url":null,"abstract":"On a Thin Client system, the user manipulates the server system and sees remote desktop images which are transferred over a network. However, it is difficult to use Thin Client systems on a mobile network, because the network bandwidth is insufficient to transfer the remote display image with sufficient frequency. In this study, we implement and evaluate an improved remote desktop system for mobile users that can detect a high motion zone (on the desktop), and automatically encode the detected zone into a video stream. Also we propose the scene detection method, which can optimize reducing the network bandwidth consumption depending on the situation. As a result, we show reducing the bandwidth consumption for the user can use Thin Client system on a 3G(HSPA)-like network offered narrow bandwidth comfortably.","PeriodicalId":232205,"journal":{"name":"2010 IEEE Globecom Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Globecom Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOMW.2010.5700112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
On a Thin Client system, the user manipulates the server system and sees remote desktop images which are transferred over a network. However, it is difficult to use Thin Client systems on a mobile network, because the network bandwidth is insufficient to transfer the remote display image with sufficient frequency. In this study, we implement and evaluate an improved remote desktop system for mobile users that can detect a high motion zone (on the desktop), and automatically encode the detected zone into a video stream. Also we propose the scene detection method, which can optimize reducing the network bandwidth consumption depending on the situation. As a result, we show reducing the bandwidth consumption for the user can use Thin Client system on a 3G(HSPA)-like network offered narrow bandwidth comfortably.