Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01z029p7701
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Chen, Yuxin | - |
dc.contributor.author | Brady, Nick | - |
dc.date.accessioned | 2020-08-13T12:14:32Z | - |
dc.date.available | 2020-08-13T12:14:32Z | - |
dc.date.created | 2020-05-03 | - |
dc.date.issued | 2020-08-13 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01z029p7701 | - |
dc.description.abstract | More people are using wireless networks than ever before due to the increase of personal communication devices, such as cell phones. The increase in personal communication device usage has resulted in a greater load on wireless networks, but users still expect data to arrive at their fingertips at a lightning-fast speed. Currently, backhaul bandwidth limitations can restrict information speeds through the rest of the network. Therefore, a method is needed to compensate for increasing backhaul bandwidth requirements. One proposed solution is to move popular network content to the network edges prior to user requests, known as wireless caching. Pushing content during times of low network usage decreases peak loads on the backhaul link. Multiple proposed methods of wireless caching have been presented in the literature, each with limitations and differing implications for real-world usage. This report presents the analysis and evaluation of one previously published method by modeling them and considering the possible practical applications and limitations of it. | en_US |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | en_US |
dc.title | LICENSE | en_US |
dc.title | Analysis and Simulation of Network Caching Models as a Solution for Improving Network Throughput | en_US |
dc.title | LICENSE | en_US |
dc.type | Princeton University Senior Theses | - |
pu.date.classyear | 2020 | en_US |
pu.department | Electrical Engineering | en_US |
pu.pdf.coverpage | SeniorThesisCoverPage | - |
pu.contributor.authorid | 960893897 | - |
Appears in Collections: | Electrical Engineering, 1932-2020 |
Files in This Item:
File | Description | Size | Format | |
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BRADY-NICK-THESIS.pdf | 4.1 MB | Adobe PDF | Request a copy |
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