AIoT: Reliability & Resilience
Ensuring a high level of robustness for AIoT-based systems is usually a key requirement. Robustness is a result of two key concepts: Reliability and resilience ("R&R"). Reliability is about designing, running and maintaining systems to provide consistent and stable services. Resilience on the other hand refers to a system`s ability to resist adverse events and conditions.
Ensuring reliability and resilience is a broad topic, which ranges from basics such as proper error handling on the code level up to geo-replication and disaster recovery. Also, there are some overlaps with Security, as well as Verification and Validation. This section is discussing reliability and resilience in the context of AIoT DevOps first, before looking at the AI and IoT specifics in more detail.
R&R for AIoT DevOps
Robust, AI-based components in AIoT
Reliability & Resilience for IoT
References
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Authors and Contributors
DIRK SLAMA
(Editor-in-Chief) AUTHOR Dirk Slama is VP and Chief Alliance Officer at Bosch Software Innovations (SI). Bosch SI is spearheading the Internet of Things (IoT) activities of Bosch, the global manufacturing and services group. Dirk has over 20 years experience in very large-scale distributed application projects and system integration, including SOA, BPM, M2M and most recently IoT. He is representing Bosch at the Industrial Internet Consortium and is active in the Industry 4.0 community. He holds an MBA from IMD Lausanne as well as a Diploma Degree in Computer Science from TU Berlin. |