Quality and Cost Aware Service Selection in IoT-Context Management Platforms
Author:
Affiliation:
1. Deakin University,School of Information Technology,Geelong,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9693994/9694109/09694126.pdf?arnumber=9694126
Reference14 articles.
1. A Priced Public Sensing Framework for Heterogeneous IoT Architectures
2. Pricing for Revenue Maximization in IoT Data Markets: An Information Design Perspective
3. Efficient Execution of Complex Context Queries to Enable Near Real-Time Smart IoT Applications
4. A scaling method for priorities in hierarchical structures
5. GitHub - IBA-Group-IT/IoT-data-simulator: Generic IoT data sim-ulator. Provides possibility to replay datasets or generates data on fly. Supports various IoT platforms out of the box;Github,2021
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1. Refresh Rate-Based Caching and Prefetching Strategies for Internet of Things Middleware;Sensors;2023-10-27
2. Towards World Wide Context Management: Architecting Distributed Contextual Intelligence Systems for Real-Time IoT Applications;2023 24th IEEE International Conference on Mobile Data Management (MDM);2023-07
3. Adaptive Context Caching for IoT-Based Applications: A Reinforcement Learning Approach;Sensors;2023-05-15
4. Adaptive Context Caching for Efficient Distributed Context Management Systems;Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing;2023-03-27
5. Validating Quality of Context in Pervasive Computing Systems: Surf Life Saving Use Case;2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops);2023-03-13
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