Content caching in next-generation networks

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Authors
Liu, Teng
Issue Date
2018-05
Type
Electronic thesis
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Language
ENG
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Electrical engineering
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Abstract
First, we study the problem of allocating two types of memory, which have different access speeds, to a set of routers in a single content-centric network domain. The goal is to develop a cache allocation scheme with a desired performance. Second, we consider the joint problem of content placement and service scheduling in wireless femtocell networks to maximize the traffic volume served from the cache. A probabilistic algorithm is proposed which is scalable and can converge relatively fast. Then, we study caching in vehicular transportation networks that support vehicle-to-vehicle (V2V) communication. We derive the data throughput, based on which we propose a communication cost function. With this communication cost, we develop a technique to drive the user equilibrium to the system optimal by tuning communication network related parameters under the marginal cost pricing framework. Finally, we incorporate the vehicle-to-infrastructure (V2I) communication in vehicular transportation networks and model the trip cost of different user groups. We propose a V2I bandwidth allocation scheme in a two-route network to lower the Price-of-Anarchy (PoA).
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May 2018
School of Engineering
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Rensselaer Polytechnic Institute, Troy, NY
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