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https://www.um.edu.mt/library/oar/handle/123456789/145790| Title: | Reversible computation vs. runtime adaptation in industrial IOT systems |
| Other Titles: | Components operationally : reversibility and system engineering |
| Authors: | Attard, Duncan Paul Bugeja, Keith Francalanza, Adrian Galea, Marietta Tabone, Gerard Zahra, Gianluca |
| Keywords: | Internet of things -- Industrial applications Reversible computing Adaptive control systems Embedded computer systems -- Industrial applications Fault-tolerant computing Real-time data processing |
| Issue Date: | 2025 |
| Publisher: | Springer Nature Switzerland |
| Citation: | Attard, D. P., Bugeja, K., Francalanza, A., Galea, M., Tabone, G., & Zahra, G. (2025). Reversible Computation vs. Runtime Adaptation in Industrial IoT Systems. In C. A. Mezzina, & A. Schmitt (Eds.), Components operationally : reversibility and system engineering (pp. 199-217). Cham, Switzerland: Springer Nature. |
| Abstract: | This paper presents a comparative study between two software engineering techniques, reversible computation and runtime adaptation, in the context of industrial IoT. We frame our comparison around a representative Industry 5.0 shop floor case study that focuses on the high-precision manufacturing of integrated circuits. The case study identifies four error scenarios that can arise in typical shop floor operations and evaluates how reversible computation and runtime adaptation address them, highlighting the strengths and limitations of each approach. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/145790 |
| Appears in Collections: | Scholarly Works - FacICTCS |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Reversible_computation_vs._runtime_adaptation_in_industrial_IOT_systems(2025).pdf Restricted Access | 793.01 kB | Adobe PDF | View/Open Request a copy |
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