Improving Content-Aware Video Streaming in Congested Networks with In-Network Computing

Network congestion and packet loss pose an ever-increasing challenge to video streaming. Despite the research efforts toward making video encoding schemes resilient to lossy network conditions, forwarding devices have not considered monitoring packet content to prioritize packets and minimize the im...

Full description

Saved in:
Bibliographic Details
Main Authors: Gobatto, Leonardo, Saquetti, Mateus, Diniz, Claudio, Zatt, Bruno, Cordeiro, Weverton, Azambuja, Jose R.
Format: Conference Proceeding
Language:English
Subjects:
Circuits and systems
Costs
Encoding
Hardware
In-network computing
networking
Packet loss
Propagation losses
Streaming media
video streaming
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Network congestion and packet loss pose an ever-increasing challenge to video streaming. Despite the research efforts toward making video encoding schemes resilient to lossy network conditions, forwarding devices have not considered monitoring packet content to prioritize packets and minimize the impact of packet loss on video transmission. In this work, we advocate in favor of in-network computing employing a packet drop algorithm and an in-network hardware module to devise a solution for improving content-aware video streaming in congested network. Results show that our approach can reduce intra-predicted packet loss by over 80% at negligible resource usage and performance costs.
ISSN:2158-1525
DOI:10.1109/ISCAS48785.2022.9937451