Slack time–based scheduling scheme for live video streaming in P2P network

Abstract

Summary Nowadays, peer‐to‐peer network plays a significant role in data transfer and communication. The past few years have witnessed considerable growth in this area because of its inherent advantages. Peer‐to‐peer live streaming has a significant impact on video transmission over the Internet. Major factors that influence the performance of P2P live streaming are overlay construction and scheduling strategies. Although, a large number of scheduling schemes are developed but none of them is comprehensive enough to provide solutions to live streaming issues. These suffer from substantial delay and low video quality at the receiver side. In this paper, a new start‐up–based selection procedure and slack time–based scheduling scheme is proposed. The start‐up selection procedure defines the start‐up buffer location for new peer, and the scheduling scheme selects both the chunk and peers. The proposed scheduling scheme uses both push and pull priority–based strategies. The simulation results of the proposed approach demonstrates significant improvement in both the network performance and video quality at the receiver side. It is observed that playback delay, startup delay, and end‐to‐end delay in the network are reduced and quality of the video at receiver side is improved as the distortion and frame loss ratio is decreased.

WidePLive: a coupled low‐delay overlay construction mechanism and peer‐chunk priority‐based chunk scheduling for P2P live video streaming

“…Providing a peer selection method at the tracker level in [8] reduces playback latency and startup delay compared to [22]. To improve the efficiency of live video streaming systems, a balance is needed between peer selection techniques [8,21] and chunk scheduling techniques [2,[23][24][25].…”

“…This can be verified from two perspectives: the receiver side and the sender side chunk scheduling. In push-based systems, the focus is often on sender side chunk scheduling algorithms and in pullbased systems the emphasis is on receiver side chunk scheduling algorithms [2]. In some references such as [26,27], hybrid methods are proposed for achieving scalability, reliability, and encouragement of peers to collaborate.…”

“…According to forecasts provided by CISCO, about 82% of Internet traffic will include video traffic by 2022 [1]. Video streaming plays an important role in various areas of life, including communication, education, entertainment, and security [2]. The deployment of broadband networks has enabled the provision of services such as IPTV, YouTube, NetTV, and Netflix on the Internet.…”

“…Hence, researchers have proposed peer-to-peer (P2P) networks for streaming video in search of a scalable solution. The result is the presentation of many scientific products including [2][3][4][5][6][7][8][9], as well as commercial applications such as PPLive, UUSee, CoolStreaming, and SopCast. In live video streaming, various quality parameters such as playback continuity, playback latency, and startup delay have a direct effect on user satisfaction.…”

MOPSO-based Data Scheduling Scheme for P2P Streaming Systems

“…Several other works are related to P2P streaming in mobile Adhoc networks (MANET) [15] or P2P live streaming [16][17][18]. Hu et al [15] used a delay-sensitive segment scheduling strategy to provide timely P2P streaming services in mobile Adhoc networks.…”