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However, due to the non-uniform cost/size property of data objects in this environment, design of an efficient caching algorithm becomes an even more difficult problem compared to the traditional caching problems.
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We formulate the energy-efficient distributed in-network caching problem as a non-cooperative game.
For instance, information theoretical formulation of the caching problem is studied in [19].
Based on this framework, we decompose the caching problem into a content placement subproblem and a request routing subproblem.
Movies If you've ever shot video on a digital still camera before, you might have encountered a caching problem where once the memory buffer gets full, the video stops, the data is dumped and then the video commences again.
The energy-efficient distributed in-network caching problem is then formulated as a non-cooperative game, and the optimization objective is energy cost and energy saving rate.
We have studied the caching problem in a scenario where small base station are stochastically distributed and have finite-rate backhaul links.
A game theoretical formulation of the caching problem as a many-to-many game is studied in [21] by taking into account data dissemination in social networks.
The contribution of this work is to formulate the caching problem in a scenario where stochastically distributed small base station are equipped with storage units but have the limited backhaul capacity.
The caching problem is formulated as a many-to-many matching game between small base stations and service providers' servers in order to offer the smallest download time for end-users.
By coupling the caching problem with a physical layer in this way and relying on recent results from [24], we show that a certain outage probability can be achieved either by 1) increasing number of small base station while the total storage size budged is fixed or 2) increasing the total storage size while the number of small base station is fixed.
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