Congestion‐aware HTTP adaptive streaming system over SDN‐enabled Wi‐Fi network. (26th April 2019)

• Record Type: Journal Article
• Authors: Noh, Hyunmin; Lee, Hwanwook; Go, Yunmin; Park, Hyun; Lee, Jongman; Kim, Jaewoo; Song, Hwangjun
• Is Part Of: Concurrency and computation. Volume 32:Number 21(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-04-26
• Subjects: HTTP adaptive streaming -- MPEG‐DASH -- MPEG‐SAND -- OpenFlow -- SDN; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.5310
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: This paper proposes a novel congestion‐aware HTTP adaptive streaming (HAS) system to improve video quality of clients over software‐defined network (SDN)–enabled Wi‐Fi network. The proposed system employs SDN technology to efficiently control the network resources and video quality over the competing Wi‐Fi network. In the proposed system, an SDN‐enabled access point (AP) can monitor the streaming status of clients, such as the buffered playback time and information of requested segments. An SDN controller collects not only the streaming status of clients but also the Wi‐Fi network conditions from the AP using OpenFlow. Additionally, when a congestion is going to occur, it determines the segment bitrate of each client to provide seamless and high‐quality streaming services. The proposed system is fully implemented using open‐source programs, such as ONOS and hostapd, and is examined in a real Wi‐Fi network. The experimental results verify that the proposed system can provide seamless and high‐quality HAS services for the clients compared with existing systems.