Reference number : GC-2017-Q2-00098, amendment number : , agreement type : G, recipient legal name : Liang, Jie (Simon Fraser University), recipient country : CA, recipient province : nan, recipient city : British Columbia|Colombie-Britannique, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : The advances in personal and mobile computing make it increasingly convenient for people to be connected_x000D_
with each other via various social media network services, and share images and videos over these networks. In_x000D_
particular, crowdsourced live streaming via mobile devices has become a popular application, where any user_x000D_
can broadcast live videos through the network, and other users can watch these videos and interact with the_x000D_
content providers or other viewers. Some popular events in these networks could easily attract thousands or_x000D_
even millions of viewers. This has posed several major challenges to the service providers of crowdsourced_x000D_
live streaming. First, crowdsourced contributors are geo-distributed. Second, the crowdsourcers are often much_x000D_
more dynamic than dedicated content providers. Third, the quality of service (QoS) of end-users is difficult to_x000D_
be guaranteed due to heterogeneous user device and network conditions._x000D_
In this project, we will work with our industrial partner and develop a cloud-assisted solution for crowdsourced_x000D_
live streaming system by taking full advantage of cloud computing and video coding technologies. First, we_x000D_
will design a generic cost-effective framework for crowdsourced live streaming to support large scale_x000D_
geo-distributed video crowdsourcers. Second, the heterogeneity of both broadcasters and the viewers are taken_x000D_
into consideration to design transcoding and bit-rate adaption strategies for the system. Third, rate control and_x000D_
play buffer optimization will be employed to further improve the QoS of end-users. Last, we will explore a_x000D_
hybrid cloud and peer-to-peer system as a possible approach for improving performance of crowdsourced live_x000D_
streaming., program purpose french : The advances in personal and mobile computing make it increasingly convenient for people to be connected_x000D_
with each other via various social media network services, and share images and videos over these networks. In_x000D_
particular, crowdsourced live streaming via mobile devices has become a popular application, where any user_x000D_
can broadcast live videos through the network, and other users can watch these videos and interact with the_x000D_
content providers or other viewers. Some popular events in these networks could easily attract thousands or_x000D_
even millions of viewers. This has posed several major challenges to the service providers of crowdsourced_x000D_
live streaming. First, crowdsourced contributors are geo-distributed. Second, the crowdsourcers are often much_x000D_
more dynamic than dedicated content providers. Third, the quality of service (QoS) of end-users is difficult to_x000D_
be guaranteed due to heterogeneous user device and network conditions._x000D_
In this project, we will work with our industrial partner and develop a cloud-assisted solution for crowdsourced_x000D_
live streaming system by taking full advantage of cloud computing and video coding technologies. First, we_x000D_
will design a generic cost-effective framework for crowdsourced live streaming to support large scale_x000D_
geo-distributed video crowdsourcers. Second, the heterogeneity of both broadcasters and the viewers are taken_x000D_
into consideration to design transcoding and bit-rate adaption strategies for the system. Third, rate control and_x000D_
play buffer optimization will be employed to further improve the QoS of end-users. Last, we will explore a_x000D_
hybrid cloud and peer-to-peer system as a possible approach for improving performance of crowdsourced live_x000D_
streaming., agreement title english : Cloud-assisted solution for crowdsourced live streaming systems, agreement title french : Cloud-assisted solution for crowdsourced live streaming systems, agreement number : EGP, agreement value : 24750.0, agreement start date : 2017-07-12, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada