Proceedings Article10.1109/WIMOB50308.2020.9253426
Data Stream Query Processing on Mobile Devices
Mitra Kazemzadeh,Wendy Osborn +1 more
- 12 Oct 2020
- pp 370-373
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TL;DR: This paper proposes an architecture and framework for stream data management and query processing on a mobile device that only keeps a minimal number of features and presents details on an implementation of this framework for a currency conversion application, which demonstrates the utility of the framework.
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Abstract: Nowadays, data management and processing systems exist that handle streaming data. Streaming data is data that is very large and cannot all be stored, and also may only be valid for a certain period of time. In existing stream data managements systems, data streams are transmitted to a server where the management and processing of queries take place, before the results are transmitted on an outbound stream possibly to another mobile device. However, no strategies exist that receive, manage and process stream data directly on a mobile device, without having to rely on the services of a server. This paper proposes an architecture and framework for stream data management and query processing on a mobile device. The architecture only keeps a minimal number of features. All database operations are handled with minimal data storage requirements. It also presents details on an implementation of this framework for a currency conversion application, which demonstrates the utility of our framework. This work will lead to several new directions of research in the area of stream processing on mobile devices.
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Citations
Mining Social Media Data Streams for Sentimental Analysis
26 Aug 2022
TL;DR: Stream mining is the technique of collecting knowledge or patterns from continuously changing data streams as mentioned in this paper , unlike standard data sets, are collections of data instances that flow in and out of a system at different rates.
Mining Social Media Data Streams for Sentimental Analysis
Rahul Patil,Swapnil Harwalkar,Kaustubh Ingale,Vishwajeet Patil,Soham Puranik +4 more
- 26 Aug 2022
TL;DR: Stream mining is the technique of collecting knowledge or patterns from continuously changing data streams as discussed by the authors , unlike standard data sets, are collections of data instances that flow in and out of a system at different rates.
Processing of a Continuous Data Stream on a Mobile Device
Jacqueline Eshriew,Wendy Osborn +1 more
- 26 Oct 2022
TL;DR: In this article , a framework for streaming database management and processing on mobile devices has been proposed, which supports the join between a stream and a static table and supports a ranked selection.
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