Coded Caching for Content Distribution Networks

Coded Caching for Content Distribution Networks
January, 10, 2018
Room 861 Electrical Eng. Building Technion City

ceClub: The Technion Computer Engineering Club

Graduate student

Speaker: Barak Farbman

Affiliation: Viterbi Faculty of Electrical Engineering, Technion

Caching is the most effective practice for reducing delays and congestion in networks aimed at content distribution. In this work we address the setup of multiple Internet service providers (ISPs) sharing a federated cache. When multiple ISPs with different demands share a cache, storage cost can be reduced when the cache is coded, that is, storing objects that are XORs of multiple content objects.
The talk will present our results on low-complexity methods for coded caching, where both computational complexity and communication cost are minimized. For the static-demand case we show how to lower the computational complexity to serve requests while guaranteeing optimal storage cost. For the dynamic-demand case (ISPs constantly changing their demands), we propose an architecture and algorithms to lower the communication cost required for updating the coded objects in the cache, while maintaining low storage cost.
Bio: Barak Farbman is an M.Sc. student in the Electrical Engineering Department of the Technion, under the supervision of Prof. Yuval Cassuto. Barak received the B.Sc. degrees (cum laude) in Electrical Engineering and in Physics from the Technion in 2014. He is also an alum of the EMET program of the Technion’s EE Department.

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