Paper Info
Title
Energy Consumption Reduction via Context-Aware Mobile Video Pre-fetching
Abstract
The arrival of smart phones and tablets, along with a flat rate mobile Internet pricing model have caused increasing adoption of mobile data services. According to recent studies, video has been the main driver of mobile data consumption, having a higher growth rate than any other mobile application. However, streaming a medium/high quality video files can be an issue in a mobile environment where available capacity needs to be shared among a large number of users. Additionally, the energy consumption in mobile devices increases proportionally with the duration of data transfers, which depend on the download data rates achievable by the device. In this respect, adoption of opportunistic content pre-fetching schemes that exploit times and locations with high data rates to deliver content before a user requests it, has the potential to reduce the energy consumption associated with content delivery and improve the user's quality of experience, by allowing playback of pre-stored content with virtually no perceived interruptions or delays. This paper presents a family of opportunistic content pre-fetching schemes and compares their performance to standard on-demand access to content. By adopting a simulation approach on experimental data, collected with monitoring software installed in mobile terminals, we show that content pre-fetching can reduce energy consumption of the mobile devices by up to 30% when compared to the on demand download of the same file, with a time window of 1 hour needed to complete the content prepositioning.
Year
DOI
Venue
2012
10.1109/ISM.2012.56
Multimedia
Keywords
Field
DocType
context-aware mobile video pre-fetching,content pre-fetching,energy consumption,energy consumption reduction,mobile device,content prepositioning,content delivery,mobile application,opportunistic content,mobile data consumption,mobile data service,mobile internet pricing model
Mobile technology,Mobile computing,Mobile search,IMT Advanced,Computer science,Mobile station,Computer network,Real-time computing,Mobile Web,Energy consumption,Mobile broadband
Conference
ISBN
Citations 
PageRank 
978-1-4673-4370-1
6
0.60
References 
Authors
4
5
Name
Order
Citations
PageRank
Alisa Devlic1959.46
Pietro Lungaro2388.26
Pavan Kamaraju3172.34
Zary Segall4640160.36
Konrad Tollmar568084.17