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Database functionalities for evolving monitoring applications

: Schmiegelt, P.

Helfert, M. (Ed.) ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal; Reykjavik University:
Proceedings of the 2nd International Conference on Data Management Technologies and Applications : Reykjavík, Iceland, 29 - 31 July, 2013
SciTePress, 2013
ISBN: 978-989-8565-67-9
International Conference on Data Management Technologies and Applications (DATA) <2, 2013, Reykjavík>
Fraunhofer IAIS ()

Databases are able to store, manage, and retrieve large amounts and a broad variety of data. However, the task of understanding and reacting to the data is often left to tools or user applications outside the database. As a consequence, monitoring applications are often relying on problem-specific imperative code for data analysis, scattering the application logic. This usually leads to island solutions which are hard to maintain, give raise to security and performance problems due to the separation of data storage and analysis. In this paper, we identify missing database functionalities which overcome these problems by allowing data processing on a higher level of abstraction. Such functionalities would allow to employ a database system even for the complex analysis tasks required in evolving monitoring scenarios.