School of Computing, Queen's University
Kingston, Ontario, Canada.
is a leading authority in the areas of broadband, wireless and mobile networks architecture, protocols, control and performance evaluation. His record spans more than 500 publications in journals, conferences and book chapters, in addition to numerous keynotes and plenary talks in flagship venues. Dr. Hassanein has received several recognition and best paper awards at top international conferences. He is the founder and director of the Telecommunications Research Lab (TRL) at Queen's University School of Computing, with extensive international academic and industrial collaborations. He is a fellow of the IEEE, and is a former chair of the IEEE Communication Society Technical Committee on Ad hoc and Sensor Networks (TC AHSN). Dr. Hassanein is an IEEE Communications Society Distinguished Speaker (Distinguished Lecturer 2008-2010
Title and abstract
Collaborative Caching in Next Generation Wireless Networks
User generated content, especially video is the predominant source of Internet traffic. Such traffic will be primarily facilitated by mobile devices in 5G wireless networks. To alleviate the high cellular costs and excessive delays, the use of content caching (in-network and/or at the edge) is widely accepted. This talk sheds light on how to utilize in-network and edge caching for supporting multimedia applications over 5G wireless networks.
Since content producers and consumers can be mobile, we discuss predictive mobility management schemes for caching that are resilient to uncertainties. We show how proactive solutions, which exploit location and data traffic prediction, can deliver the content of mobile users (both consumers and producers) under application delay constraints. Particularly, the network can detect roaming users and caches their prospective content ahead of handover events while considering the maximum tolerable delay and network overheads.
Caching nodes could be part of the infrastructure or in user devices/vehicles. We investigate methods of getting the data closer to the requester using cooperative content discovery and placement at vehicles. We exploit the static and mobile nature of parked and moving vehicles, respectively, to dynamically populate valuable road segments with diverse cached data. We discuss methods of diffusing cached content information and tracking caching nodes, hence providing an implicit form of off-path caching by assessing the trajectory of moving vehicles encountered along the data delivery path.
Finally, and realizing that cache performance diminishes as video consumers dynamically select content encoded at different bitrates, we introduce methods to dissect the cache capacity of routers along a forwarding path according to dedicated bitrates. To facilitate this partitioning, we propose a guiding principle which stabilizes bandwidth fluctuation while achieving high cache utilization by safeguarding high-bitrate content on the edge and pushing low-bitrate content into the network core.