CSDN: CDN-Aware QoE Optimization in SDN-Assisted HTTP Adaptive Video Streaming

Abstract

Recent studies have revealed that network-assisted techniques, by providing a comprehensive view of the network, improve HTTP Adaptive Streaming (HAS) system performance significantly. This paper leverages the capability of Software-Defined Networking, Network Function Virtualization, and edge computing to introduce a CDN-Aware QoE Optimization in SDN-Assisted Adaptive Video Streaming (CSDN) framework. We employ virtualized edge entities to collect various information items and run an optimization model with a new server/segment selection approach in a time-slotted fashion to serve the clients' requests by selecting optimal cache servers. In case of a cache miss, a client's request is served by an optimal replacement quality from a cache server, by a quality transcoded from an optimal replacement quality at the edge, or by the originally requested quality from the origin server. Comprehensive experiments conducted on a large-scale testbed demonstrate that CSDN outperforms other approaches in terms of the users' QoE and network utilization.

Fully Dual Closed Stable Modules

“…The results of the proposed NAVS solutions will be compared with other state-of-the-art and baseline approaches in terms of metrics mentioned in RQ3 to show their performance. ES-HAS [55] CSDN [54] ARARAT [58] RICHTER [56][57] ALIVE [62] LEADER [59] ES-HAS [55] LEADER [59] ARARAT […”

“…LEADER [59] ES-HAS [55] CSDN [54] SARENA [61] ARARAT [58] RICHTER [56] architecture and formulate each problem as a mathematical optimization model. At the end of each section, we discuss the details of the testbed design and obtain and analyze results.…”

“…This section introduces the CSDN framework [54] as a CDN-aware QoE optimization solution in SDN-assisted HTTP Adaptive Video Streaming. CSDN actually extends the ES-HAS framework by equipping its edge servers with transcoding capabilities, making it suitable for both VoD and live streaming scenarios.…”

vDANE: Using virtualization for improving video quality with Server and Network Assisted DASH

“…In Cevallos Moreno et al, 16 an approach was proposed for defining the placement of video streaming VNFs such as cache, transcoder, compressor, and streamer by considering the capacities of VNFs containers. The studies were proposed to use a virtualized proxy servers or caches, which selects which content from which virtualized server for HAS systems in Farahani et al 17,18 Although there are several studies utilizing vCaches for increasing QoE, they mainly focus on VMs capacities for VNF and/or content placement. Our study mainly differs from these works in the literature, due to its parameters used for the placement of vCaches.…”

“…In Cevallos Moreno et al, 16 an approach was proposed for defining the placement of video streaming VNFs such as cache, transcoder, compressor, and streamer by considering the capacities of VNFs containers. The studies were proposed to use a virtualized proxy servers or caches, which selects which content from which virtualized server for HAS systems in Farahani et al 17,18 …”