DCCP Adaptive Real-Time Streaming with Time-Constrained Aggregated ARQ in Cloud Environment

• Main Authors: Ming-Fu Lai, 賴明甫
• Other Authors: Cheng-Shong Wu
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/73061426624836775407

碩士 === 國立中正大學 === 通訊工程研究所 === 103 === With the advances in voice, video compression and broadband technology, multimedia streaming services become an integral part of daily life. With the popularity of high-definition video streaming services, Bandwidth requirement for transmission has also increased, so many research have proposed multimedia video compression technologies. There are many different playback platforms such as tablet PCs, smart phones and other mobile devices, users can watch live streaming video anytime, anywhere through these handheld devices via the Internet. However, these heterogeneous platforms have different playing ability, the requirements for video quality is also different. In order to provide a suitable multimedia streaming service for heterogeneous platform, we have to use the real-time video transcoding to making the correct video format for video playback. Today's IP network end to end transmission is broadly divided into TCP and UDP. TCP sliding window mechanism adjust its sending rate too violent, and its retransmission mechanism for real-time video packet recovery may suffer a long round trip time delay has made the protocol not an ideal candidate for streaming applications. However, given the lack of inbuilt congestion and flow control mechanisms within UDP may cause the occurrence of network congestion. In this paper, we use the cloud transcoder for real-time transcoding and we proposed DCCP as transport protocol and added aggregated ARQ with time-constrained at application layer to solve the reliability problem of transmission.