Sökning: "data stream processing"
Visar resultat 1 - 5 av 83 avhandlingar innehållade orden data stream processing.
1. Scalable and Reliable Data Stream Processing
Sammanfattning : Data-stream management systems have for long been considered as a promising architecture for fast data management. The stream processing paradigm poses an attractive means of declaring persistent application logic coupled with state over evolving data. LÄS MER
2. Scalable Scientific Stream Query Processing
Sammanfattning : Scientific applications require processing of high-volume on-line streams of numerical data from instruments and simulations. In order to extract information and detect interesting patterns in these streams scientists need to perform on-line analyses including advanced and often expensive numerical computations. LÄS MER
3. Explainable and Resource-Efficient Stream Processing Through Provenance and Scheduling
Sammanfattning : In our era of big data, information is captured at unprecedented volumes and velocities, with technologies such as Cyber-Physical Systems making quick decisions based on the processing of streaming, unbounded datasets. In such scenarios, it can be beneficial to process the data in an online manner, using the stream processing paradigm implemented by Stream Processing Engines (SPEs). LÄS MER
4. Scalable Validation of Data Streams
Sammanfattning : In manufacturing industries, sensors are often installed on industrial equipment generating high volumes of data in real-time. For shortening the machine downtime and reducing maintenance costs, it is critical to analyze efficiently this kind of streams in order to detect abnormal behavior of equipment. LÄS MER
5. Parallel Data Streaming Analytics in the Context of Internet of Things
Sammanfattning : We are living in an increasingly connected world, where the ubiquitously sensing technologies enable inter-connection of physical objects, as part of Internet of Things (IoT), and provide continuous massive amount of data. As this growth soars, benefits and challenges come together, which requires development of right tools in order to extract valuable information from data. LÄS MER