On the Trade-offs between Generalization and Specialization in Real-Time Systems

G. von der Bruggen, Alan Burns, Jian-Jia Chen, Robert Ian Davis, Jan Reineke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

While academia favours general research that is applicable to a large class of systems, this paper highlights the necessity of research into specific scenarios and aims to increase its acceptance in the real-time systems community. We argue that such research is not only motivated by greater applicability to industry, but that specialization can also provide valuable information from a purely academic perspective. In addition, the trade-offs between generalization and specialization are examined, considering not only theoretical performance, but also the impact on essential non-functional properties that are important for industry, namely composability, robustness, extensibility, and parametric simplicity.
Original languageEnglish
Title of host publication28th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Number of pages12
Publication statusPublished - 23 Aug 2022
Event28th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications -
Duration: 23 Aug 202225 Aug 2022
https://rtcsa.org/

Conference

Conference28th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Abbreviated titleRTCSA 2022
Period23/08/2225/08/22
Internet address

Bibliographical note

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Keywords

  • real-time systems
  • generalization
  • specialization

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