Paper Info
Title
A Data Streams Processing Platform for Matching Information Demand and Data Supply.
Abstract
Data-driven applications are adapted according to their execution context, and a variety of live data is available to evaluate this contextual information. The BaSeCaaS platform described in this demo paper provides data streaming and adaptation services to the data driven applications. The main features of the platform are separation of information requirements from data supply, model-driven configuration of data streaming services and horizontal scalable infrastructure. The paper describes conceptual foundations of the platform as well as design of data stream processing solutions where matching between information demand and data supply takes please. Light-weight open-source technologies are used to implement the platform. Application of the platform is demonstrated using a winter road maintenance case. The case is characterized by variety of data sources and the need for quick reaction to changes in context.
Year
DOI
Venue
2019
10.1007/978-3-030-21297-1_10
Lecture Notes in Business Information Processing
Keywords
Field
DocType
Data stream,Adaptation,Context,Model-driven
Data stream mining,Computer science,Database
Conference
Volume
ISSN
Citations 
350
1865-1348
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Janis Grabis116427.61
Janis Kampars2144.81
Krisjanis Pinka301.01
Janis Peksa411.71