Material Type  

 학위논문

 

0014997548

Date and Time of Latest Transaction  

20190102171621

ISBN  

9780438206748

DDC  

621.3

Author  

Liu, Teng.

Title/Author  

Content Caching in Next-generation Networks

Publish Info  

[Sl] : Rensselaer Polytechnic Institute, 2018

Publish Info  

Ann Arbor : ProQuest Dissertations & Theses, 2018

Material Info  

148 p

General Note  

Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.

General Note  

Adviser: Alhussein A. Abouzeid.

학위논문주기  

Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2018.

Abstracts/Etc  

요약Caching data is a known technique for improving system performance, and has been used extensively in many areas of computer engineering. Caching in communication networks reduces content access delay and alleviates congestion in the network core

Abstracts/Etc  

요약In this research, we study the use of caching in future communication networks, which consists of four chapters: i) cache allocation in content-enabled Internet routers, ii) content placement at the edge of heterogeneous wireless networks, iii)

Abstracts/Etc  

요약First, 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. Secon

Abstracts/Etc  

요약Each of the four chapters is supported by intensive simulations. Specifically, in Chapter 3 and Chapter 4, we use OMNeT++ simulator to show that the proposed algorithms, namely HMAC and ICAP, outperform the corresponding state-of-the-art algorit

Subject Added Entry-Topical Term  

Computer engineering

Subject Added Entry-Topical Term  

Transportation

Added Entry-Corporate Name  

Rensselaer Polytechnic Institute Electrical Engineering

Host Item Entry  

Dissertation Abstracts International. 79-12B(E).

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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소장사항  

201812 2019

Control Number  

joongbu:555835