Packet Trimming at the Edge for Low Latency in 6G Environments

Table of Contents

Seminars-2-2024 - This article is part of a series.

Part 1: The Dawn of an Immersive Internet: XR, Generative AI and the Road to 6G

Part 2: AGI Chips - The Next Frontier

Part 3: Generalist vs Specialist Language Models

Part 4: From Intelligent Surfaces to Noise-Driven Communication: Innovative Technologies for 6G and Beyond

Part 5: An Overview of Evolutionary Multi-Objective Optimization

Part 6: This Article

Part 7: Scientific Machine Learning and Quantum Utility: A Near Future Perspective

Part 8: Cloud Storage Systems: Latency Characterization and Extensions

Part 9: Let the Plants do the Talking: Climate-Smart Agriculture by the Messages Received from Plants and Soil

Part 10: More is different: How the Science of Complex Systems can inspire Future Autonomous Networks

Abstract #

The talk presents the use of packet trimming, a technique which adjusts the size of a packet during its transmission over the network, and has the ability to provide low latency and low loss at the client. It allows a much better level of control and manageability, compared to existing transport approaches using UDP or TCP. For best behaviour and performance, packet trimming has to be well matched to the application data format. Packet trimming needs support at the server/sender, in the network edge, and at the client to achieve this best performance. The approach taken for each of these is presented. We have found that using trimming is good for fixed bandwidths, and is highly adaptable to dynamic bandwidth changes. As such, it is ideal for Beyond 5G and 6G scenarios, where trimming functions can be placed at the edge.

Bio of Stuart Clayman #

Stuart Clayman received his PhD in Computer Science from University College London in 1994. He is currently a Principal Research Fellow at UCL EEE department, and he has worked as a Research Lecturer at Kingston University and at UCL. He co-authored over 75 conference and journal papers. His research interests and expertise lie in the areas of software engineering and programming paradigms; distributed systems; virtualised compute and network systems, network and systems management; sensor systems and smart city platforms, and artificial intelligence systems. He is looking at multi-domain distributed systems, new techniques for large-scale sensor systems, as well as enhanced mechanisms for end-to-end delivery of digital video. He also has extensive experience in the commercial arena undertaking architecture and development for software engineering, distributed systems and networking systems. He has run his own technology start-up in the area of NoSQL databases, sensor data, and digital media.