Modern Internet of Things solutions using edge devices produce large amounts of raw data. In order to utilize this data, it needs to be processed, aggregated, and categorized to enable decision making for management and end-users. This data management is a non-trivial task, as the computational load is directly proportional to the amount of data. In order to tackle this issue, we provide an extensible and scalable microservice architecture that can receive, normalize, and filter the raw data and persist it in different levels of aggregation, as well as for time series analysis.
|Name||Communications in Computer and Information Science|
|Conference||6th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2022, 4th International Workshop on Machine Learning and Knowledge Graphs, MLKgraphs 2022, 2nd International Workshop on Time Ordered Data, ProTime2022, 2nd International Workshop on AI System Engineering: Math, Modelling and Software, AISys2022, 1st International Workshop on Distributed Ledgers and Related Technologies, DLRT2022 and 1st International Workshop on Applied Research, Technology Transfer and Knowledge Exchange in Software and Data Science, ARTE2022 held at 33rd International Conference on Database and Expert Systems Applications, DEXA 2022|
|Period||22.08.2022 → 24.08.2022|
- Big data
- Data management
- Data processing
- Time series