DocumentCode
2424600
Title
An adaptive packet transmission model for real-time embedded network streaming server
Author
Yu, Shengsheng ; Tian, Ting ; Zhou, Jingli ; Guo, Hongxing
Author_Institution
Dept. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
fYear
2008
fDate
7-9 July 2008
Firstpage
848
Lastpage
853
Abstract
Embedded systems are poised to enable a variety of existing and emerging multimedia streaming applications. Digital signal processor (DSP), with its inherent features of programmable, reconfigurable and efficient, stands a dominate role in such area. However, limited resource is one of the most challenge problems in the DSP-based system. Delay, packet loss and data corruption are inevitable. In this paper, we proposed a content-based feedback control mechanism (CFCM) to operate packets delivery proceeding. Further more, to seek for accurate control and less delay, we employed an adaptive packet transmission mechanism called forward control algorithms (FCA) with using a model which represents the relation among packet transmission interval, link status and buffer capacity. Both CFCM and FCA have been integrated in real-time network video surveillance system to provide efficient and smooth packet transmission. In addition, the system payload (eg. client numbers) is doubled for strict real-time streaming by using FCA.
Keywords
embedded systems; feedback; multimedia communication; multimedia servers; signal processing; adaptive packet transmission; content-based feedback control mechanism; digital signal processor; embedded systems; forward control algorithms; multimedia streaming; realtime embedded network streaming server; Delay systems; Digital signal processing; Digital signal processors; Embedded system; Feedback control; Multimedia systems; Network servers; Programmable control; Real time systems; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1723-0
Electronic_ISBN
978-1-4244-1724-7
Type
conf
DOI
10.1109/ICALIP.2008.4590101
Filename
4590101
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