Energy Efficient Dynamic Content Distribution


Take into account a network of prosumers of media content in which users dynamically produce and request content objects. The request method is ruled by the objects’ popularity, that may vary across network regions and over time. So as to meet user requests, content objects can be stored and transported over the network, characterised by the capacity and potency of its storage and transport resources. The energy-efficient dynamic content distribution problem aims at finding the evolution of the network configuration, in terms of the placement and routing of content objects over time, that meets user requests, satisfies network resource capacities and minimizes overall energy use. We gift one) an data-centric linear programming formulation for the energy economical dynamic content distribution problem that captures multicasting and caching over the network, per-object system dynamics, and delivery deadlines; a pair of) an offline solution that characterizes the minimum energy use achievable with global knowledge of user requests and network resources; and 3) an efficient distributed on-line answer that allows network nodes to form caching choices primarily based on their native estimate of the global energy benefit. Employing a custom-built content distribution network simulator furthermore a real prototype implementation in an data-centric networking testbed, we show the many energy savings which will be obtained via the economical and lightweight cache cooperation induced by our service and energy aware distributed on-line answer with respect to cutting-edge approaches.

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