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We formulate the energy-efficient distributed in-network caching problem as a non-cooperative game.
Based on this framework, we decompose the caching problem into a content placement subproblem and a request routing subproblem.
For instance, information theoretical formulation of the caching problem is studied in [19].
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.
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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.
Overall, our solution can reduce P2P traffic on Internet backbone, and relieve the over-caching problem that has not been properly addressed in unstructured P2P networks.
Then we investigate the caching redundancy problem with the default full-path caching scheme in VANETs, and present some heuristic strategies to reduce the unnecessary cached copies.
Service delay experienced by UE to retrieve the requested content from BS is defined as the ratio between content size and downlink transmission rate from base station (MBS or SBSs) to user, and the caching optimization problem is formulated to minimize the total delay by finding the optimal caching strategy.
During the modification, we need to consider the cached key problem, which will be described further in the next section.
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