Edge AI assists Partial Content Caching with Smart Content Prefetching Scheme
draft-edge-ai-cache-00
Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
---|---|---|---|
Authors | Choong Seon Hong , Kyi Thar , Kitae Kim , Seok Won Kang | ||
Last updated | 2021-04-18 (Latest revision 2020-10-15) | ||
RFC stream | (None) | ||
Intended RFC status | (None) | ||
Formats | |||
Stream | Stream state | (No stream defined) | |
Consensus boilerplate | Unknown | ||
RFC Editor Note | (None) | ||
IESG | IESG state | Expired | |
Telechat date | (None) | ||
Responsible AD | (None) | ||
Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
Watching videos (Contents) from mobile devices has been causing most of the network traffic and is projected to remain to increase exponentially. Thus, numerous types of content and chunk based caching schemes have been proposed to handle the increasing traffic. Those caching schemes cache the whole videos at the edge nodes, but most of the users view only the beginning of the videos. Hence, caching the complete video on the edge node is an ineffective solution to reduce the network traffic as well as to improve the cache utilization. Thus, a chunk-level caching scheme to store popular videos partially and a smart prefetching scheme is needed to provide the missing chunks of the video. This Internet-Draft will expire on August 09, 2021.
Authors
Choong Seon Hong
Kyi Thar
Kitae Kim
Seok Won Kang
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)