Distributed Cache Management Using Reinforcement Learning based Strategies, M.Sc. Thesis Sharif University of Technology ; Mir Mohseni, Mahtab (Supervisor) ; Maddah Ali, Mohammad Ali (Supervisor)
Abstract
Nowadays, video on demand causes a drastic increase in network traffic that it is expected that network traffic surpasses 45 exabytes per month until 2022; consequently, utilizing distributed memories known as caches across the network to alleviate the communication load during peak hours is inevitable. Coded caching is a promising approach to mitigate and smooth traffic during peak hours in the communication network in a way that it creates coded multicasting opportunities in addition to delivering content to users locally. However, it suffers from imposed delay resulting from coding that makes this approach infeasible for delay-sensitive contents, namely video streaming applications. So...
Cataloging briefDistributed Cache Management Using Reinforcement Learning based Strategies, M.Sc. Thesis Sharif University of Technology ; Mir Mohseni, Mahtab (Supervisor) ; Maddah Ali, Mohammad Ali (Supervisor)
Abstract
Nowadays, video on demand causes a drastic increase in network traffic that it is expected that network traffic surpasses 45 exabytes per month until 2022; consequently, utilizing distributed memories known as caches across the network to alleviate the communication load during peak hours is inevitable. Coded caching is a promising approach to mitigate and smooth traffic during peak hours in the communication network in a way that it creates coded multicasting opportunities in addition to delivering content to users locally. However, it suffers from imposed delay resulting from coding that makes this approach infeasible for delay-sensitive contents, namely video streaming applications. So...
Find in contentBookmark
|
|