Grant: Strategic Projects - Group
Simon Fraser University
$145,650.00
Cloud-supported Adaptive Streaming of Videos
FY 2016-17
Summary
Internet traffic has been growing by 21% annually and it is predicted that up to 90% of global traffic will be video by 2018. The goal of this project is to design algorithms and systems for novel multimedia applications and to improve the quality, efficiency, and scalability of multimedia distribution systems to meet the fast-growing demands. We will investigate the delivery of new types of multimedia content and improve the quality of ultra high-definition, interactive, multi-view, tiled, and 3D videos. Current adaptive streaming systems suffer from unfairness, instability, and under-utilization and these problems will be exacerbated by richer multi-component video content and growth in the number of mobile-connected devices, most of them multimedia-capable, which is forecast to be 11.5 billion by 2019. To meet the rapidly increasing demand, current 4G and future 5G wireless networks and the new HTTP 2.0 standard introduce complex architectural and algorithmic features. We will analyze the impact of these features on adaptive multimedia streaming systems and develop algorithms to maximize the utilization of cellular networks, improve the quality of multi-component videos delivered over such networks, and minimize the energy consumption of mobile devices participating in video sessions. Furthermore, we will develop novel cloud-based algorithms for processing, adapting, and storing large datasets of rich multi-component videos. Cisco Canada, a key player in the video industry and a partner on this project, observes the problems described above in real deployments and is eager to find solutions for them. We will work with Cisco Canada to design and implement novel algorithms and systems for future cloud-supported multimedia systems, which will offer feature-rich video content to large-scale heterogeneous users over wired and 4G/5G wireless networks. The proposed research will extend Cisco Canada's product portfolio and will also create beneficial technologies for Canadian industry in general.
Program
Strategic Projects - Group
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
479254-2015
Name nom
Hefeeda, Mohamed
Department département
Computing Science, School of
Organization id
5
Institution établissement
Simon Fraser University
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2015
Award amount
145650
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1567
Committee name en
Strategic Projects Selection Panel - ICT
Committee name fr
Comité de sélection des projets stratégiques - ICT
Area of application code
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2721
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Multimedia systems and networks
Research subject fr
Systèmes et réseaux multimédias
Partie
2
Nb partie
3
Application title
Cloud-supported Adaptive Streaming of Videos
Keyword
NSERC
Application summary
Internet traffic has been growing by 21% annually and it is predicted that up to 90% of global traffic will be video by 2018. The goal of this project is to design algorithms and systems for novel multimedia applications and to improve the quality, efficiency, and scalability of multimedia distribution systems to meet the fast-growing demands. We will investigate the delivery of new types of multimedia content and improve the quality of ultra high-definition, interactive, multi-view, tiled, and 3D videos. Current adaptive streaming systems suffer from unfairness, instability, and under-utilization and these problems will be exacerbated by richer multi-component video content and growth in the number of mobile-connected devices, most of them multimedia-capable, which is forecast to be 11.5 billion by 2019. To meet the rapidly increasing demand, current 4G and future 5G wireless networks and the new HTTP 2.0 standard introduce complex architectural and algorithmic features. We will analyze the impact of these features on adaptive multimedia streaming systems and develop algorithms to maximize the utilization of cellular networks, improve the quality of multi-component videos delivered over such networks, and minimize the energy consumption of mobile devices participating in video sessions. Furthermore, we will develop novel cloud-based algorithms for processing, adapting, and storing large datasets of rich multi-component videos. Cisco Canada, a key player in the video industry and a partner on this project, observes the problems described above in real deployments and is eager to find solutions for them. We will work with Cisco Canada to design and implement novel algorithms and systems for future cloud-supported multimedia systems, which will offer feature-rich video content to large-scale heterogeneous users over wired and 4G/5G wireless networks. The proposed research will extend Cisco Canada's product portfolio and will also create beneficial technologies for Canadian industry in general.
