1 research outputs found
Social- and Mobility-Aware Device-to-Device Content Delivery
Mobile online social network services have seen a rapid increase, in which
the huge amount of user-generated social media contents propagating between
users via social connections has significantly challenged the traditional
content delivery paradigm: First, replicating all of the contents generated by
users to edge servers that well "fit" the receivers becomes difficult due to
the limited bandwidth and storage capacities. Motivated by device-to-device
(D2D) communication that allows users with smart devices to transfer content
directly, we propose replicating bandwidth-intensive social contents in a
device-to-device manner. Based on large-scale measurement studies on social
content propagation and user mobility patterns in edge-network regions, we
observe that (1) Device-to-device replication can significantly help users
download social contents from nearby neighboring peers; (2) Both social
propagation and mobility patterns affect how contents should be replicated; (3)
The replication strategies depend on regional characteristics ({\em e.g.}, how
users move across regions).
Using these measurement insights, we propose a joint \emph{propagation- and
mobility-aware} content replication strategy for edge-network regions, in which
social contents are assigned to users in edge-network regions according to a
joint consideration of social graph, content propagation and user mobility. We
formulate the replication scheduling as an optimization problem and design
distributed algorithm only using historical, local and partial information to
solve it. Trace-driven experiments further verify the superiority of our
proposal: compared with conventional pure movement-based and popularity-based
approach, our design can significantly ( times) improve the amount of
social contents successfully delivered by device-to-device replication