Real-time control in industrial IoT
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Summary
It is shown that local servers can be included in the closed control loop without signicant degradation in the performance of the system and that delay mitigation mechanisms focus mainly on delays and jitter that are larger than the period ofclosed control loop.
- Type
- article
- Published
- 2015-01-01
- Cited by
- 8
- References
- 57
- Access
- Open access
- OpenAlex
- https://openalex.org/W1203793167
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:107019753
Keywords
Jitter, Server, Cloud computing, Focus (optics), Computer science
References
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- Energy Cloud: Real-Time Cloud-Native Energy Management System to Monitor and Analyze Energy Consumption in Multiple Industrial Sites
- Fog Computing and Smart Gateway Based Communication for Cloud of Things
- Energy and Time Efficient Algorithm for Cloud Offloading Using Dynamic Profiling
- Reliability in the utility computing era: Towards reliable Fog computing
- Computation offloading for sporadic real-time tasks
Cited by
- Applying Mitigation Mechanisms for Cloud-based Controllers in Industrial IoT Applications
- System collaboration and information sharing using DDS technology
- Delay Mitigation in Offloaded Cloud Controllers in Industrial IoT
- Event-based control as a cloud service
- Performance impact of network conditions on an IIoT system.
- Internet of Things Applications: Opportunities and Threats
- Decision-making of IoT device operation based on intelligent-task offloading for improving environmental optimization
- AI-Powered Adaptive Systems for Fault Detection in Distributed Networks
- Evaluation of network conditions on the performance of an Industrial IoT control and monitoring system
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