EdgeSaver : Edge-Assisted Energy-Aware Mobile Video Streaming for User Retention Enhancement

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

2 Scopus Citations
View graph of relations

Author(s)

  • Hanlong Liao
  • Guoming Tang
  • Deke Guo
  • Kui Wu
  • Yangjing Wu

Detail(s)

Original languageEnglish
Pages (from-to)6550-6562
Journal / PublicationIEEE Internet of Things Journal
Volume9
Issue number9
Online published10 Sept 2021
Publication statusPublished - 1 May 2022
Externally publishedYes

Abstract

Video streaming service is one of the most important IoT applications/services at the mobile end. To provide better services and earn more customers, the mobile video service providers have paid considerable attention to enhance end users' Quality of Experience (QoE) in video streaming. As an important aspect of the mobile device, however, the battery power and its impacts on the mobile services were seldom concerned. According to our survey over 2000+ mobile users, the low battery power of mobile phones could cause the user to give up watching videos. To quantify the relationship between the battery power and user's video abandoning probability (VAP), we first extract the VAP model from the collected survey data, leveraging a reversed accumulative histogram approach. Then, referring to the quantified VAP model, we present EdgeSaver, an edge-assisted video transmission framework, which aims at maintaining a sustainable overall user retention rate for the service providers by reducing the power consumption of video playback at the mobile ends. Particularly, as the core component of EdgeSaver, a low-power video scheduler is designed to strategically select user groups, such that the most profitable outcome can be achieved under the constraints of limited edge resources. With extensive experiments using a real-world data set, we demonstrate that EdgeSaver can help the mobile video service provider improve the user retention rate by up to 30% and increase the average user viewing time by 20%. © 2014 IEEE.

Research Area(s)

  • Edge computing, Mobile battery power, Mobile video streaming, User retention rate

Citation Format(s)

EdgeSaver: Edge-Assisted Energy-Aware Mobile Video Streaming for User Retention Enhancement. / Liao, Hanlong; Tang, Guoming; Guo, Deke et al.
In: IEEE Internet of Things Journal, Vol. 9, No. 9, 01.05.2022, p. 6550-6562.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review