Low End-to-End Latency Content Caching in Wireless Network Clouds
draft-chong-t2trg-llwnc-00

Document Type Active Internet-Draft (individual)
Authors Song Chong  , Hyeonjoon Jang 
Last updated 2020-10-18
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T2TRG                                                     Chong, Song
Internet-Draft                                                  KAIST
Intended status: Standards Track                      Jang, Hyeonjoon
Expires: December 15, 2021                                      KAIST
                                                         October 2020

                Low End-to-End Latency Content Caching
                      in Wireless Network Clouds
                      draft-chong-t2trg-llwnc-00

Abstract

In this document, we consider the content caching design without 
requiring historical content access information or content popularity
profiles in a hierarchical cellular network architecture.
Our design aims to dynamically select caching locations for
different contents where caching locations can be content servers,
cloud units (CUs), and base stations (BSs). Our design objective
is to support as high content request rates as possible while
maintaining the finite service time.

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This Internet-Draft will expire on December 15, 2021.

Chong & Jang             Expires  December 15, 2021             [Page 1]
Internet-Draft      Wireless Cloud Content Caching          October 2020

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Table of Contents

 1.  Introduction . . . . . . . . . . . . . . . . . . . .. . . . . .  2
 2.  Main Idea  . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
 2.1.  System Model . . . . . . . . . . . . . . . . . . . . . . . . . 3
 2.2.  Hybrid Content Caching Design . . . . . . . . . . . .. . . . . 4
 3.  IANA Considerations  . . . . . . .. . . . .  . . . . . . . . . . 5
 4.  Security Considerations  . . . . . . . . . . . .  . . .  . . . . 5
 5.  References . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
 5.1.  Normative References . . . . . . . . . . . . . . . . . . . . . 5
 5.2.  Informative References . . . . . .. . . . .  . . . . . . . . . 5
 Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . 5 
 Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . . . 6

1.  Introduction

With the rapidly increasing mobile video traffic,
both backhaul and fronthaul networks connecting the internet
with the mobile core and edge networks such as base stations
(BSs) (see Fig. 1) become more and more congested. Since
popular contents are more frequently requested by end users,
we can reduce the end-to-end latency of video content services
and backhaul/fronthaul traffic loads by placing popular
contents at locations closer to the end users. Content
popularity profile, which captures its average access frequency
from end users, can be spatio-temporally varying in wireless
networks due to user mobility or social interaction between
mobile users. Moreover, the massive deployment of small
cells such as femto-cells in the cellular networks increases
the spatial granularity which renders the real-time estimation
of the content popularity in each BS more challenging.
Meanwhile, edge-centric technologies (e.g., edge computing/
caching and distributed Self-Organizing Network (SON))
and cloud-centric technologies (e.g., cloud computing/caching
and Cloud Radio Access Network (C-RAN)) have been devised
to support the latency-critical applications and to address
the huge amount of workloads in the cloud servers, respectively.
Recently, hybrid network architecture and operations
which adaptively exploit the edge-centric and cloud-centric
natures of the wireless network environments, has been proposed.

Chong & Jang             Expires  December 15, 2021             [Page 2]
Internet-Draft      Wireless Cloud Content Caching          October 2020
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