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• W4214845559 abstract "AbstractWith the development of the mobile Internet in recent years, the amount of data in Internet has increased substantially, resulting in more and more serious delivery delay and data cost surge, which has brought great pressure to traditional host-centered networks. As a result, a new network architecture, Content-Centric Networking (CCN), has emerged. Compared with traditional networks, CCN has larger network capacity and lower delivery delay, which can better improve quality of service. Contents are cached in the routers in a CCN. Thus, when a user’s interest packet is passed to routers, the router that caches the content can directly respond to the request. Efficient caching strategies in CCN can not only reduce link load and storage redundancy, but also reduce delivery delay caused by the surge of data. This chapter studies caching strategies in the CCN. In order to efficiently and reasonably place contents in routers and reduce the transmission delay, it firstly proposes a caching scheme based on on-path caching and off-path caching. Secondly, in order to further reduce the energy consumption, this thesis proposes a caching scheme to minimize energy consumption. In the caching scheme based on the on-path caching and off-path caching, we firstly analyze the factors such as the popularity of contents and the history of user’s requests. Secondly, we strengthen the collaboration and the sharing of caching information between routers. Finally, an optimization problem aiming at minimizing the delivery delay is established, and an approximate algorithm is designed to obtain the approximate solution to the problem. The simulation results show that this scheme can effectively reduce delivery delay. In the caching scheme for minimizing energy consumption, we firstly set up a network content transmission model and a storage model. Secondly, through the comprehensive analysis of the content size and popularity of contents, we design the cache scheme to minimize energy consumption cost in CCN. Then, we transform the caching problem to an energy cost minimization problem, which is subject to certain constraints. Finally, an improved genetic algorithm is used to solve the problem. Simulation results show that the caching scheme to minimize energy consumption can effectively reduce the energy consumption, and it is superior to other caching schemes.KeywordsContent-centric networkingCollaborative cachingEnergy consumption minimizationPopularity" @default.
• W4214845559 created "2022-03-05" @default.
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• W4214845559 date "2022-01-01" @default.
• W4214845559 modified "2023-10-17" @default.
• W4214845559 title "Collaborative Caching Strategy in Content-Centric Networking" @default.
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• W4214845559 doi "https://doi.org/10.1007/978-3-030-87049-2_16" @default.
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