Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems

Danicki, R., Haug, M., Behnke, I., Mädje, L. and Thamsen, L. (2021) Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems. In: 4th International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2021), Online, United Kingdom, 26 April 2021, pp. 25-30. ISBN 9781450382915 (doi: 10.1145/3434770.3459733)

Abstract

Manufacturing, automotive, and aerospace environments use embedded systems for control and automation and need to fulfill strict real-time guarantees. To facilitate more efficient business processes and remote control, such devices are being connected to IP networks. Due to the difficulty in predicting network packets and the interrelated workloads of interrupt handlers and drivers, devices controlling time critical processes stand under the risk of missing process deadlines when under high network loads. Additionally, devices at the edge of large networks and the internet are subject to a high risk of load spikes and network packet overloads. In this paper, we investigate strategies to detect network packet overloads in real-time and present four approaches to adaptively mitigate local deadline misses. In addition to two strategies mitigating network bursts with and without hysteresis, we present and discuss two novel mitigation algorithms, called Budget and Queue Mitigation. In an experimental evaluation, all algorithms showed mitigating effects, with the Queue Mitigation strategy enabling most packet processing while preventing lateness of critical tasks.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Thamsen, Dr Lauritz
• Authors: Danicki, R., Haug, M., Behnke, I., Mädje, L., and Thamsen, L.
• College/School: College of Science and Engineering > School of Computing Science
• ISBN: 9781450382915
• Published Online: 26 April 2021
• Copyright Holders: Copyright © 2021 Copyright held by the owner/author(s)
• First Published: First published in EdgeSys '21: Proceedings of the 4th International Workshop on Edge Systems, Analytics and Networking: 25-30
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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