KATWARN—A Microservice-Based Architecture for Distributed, Flexible and Robust Warning Systems
Ulrich Meissen (),
Stefan Pfennigschmidt (),
Markus Hardt () and
Daniel Faust ()
Additional contact information
Ulrich Meissen: Fraunhofer FOKUS
Stefan Pfennigschmidt: Fraunhofer FOKUS
Markus Hardt: Fraunhofer FOKUS
Daniel Faust: Fraunhofer FOKUS
A chapter in Advances and New Trends in Environmental Informatics, 2018, pp 213-225 from Springer
Abstract:
Abstract As in many other domains we witness in disaster management a general shift from isolated monolithic implementations towards highly robust, distributed tasking and processing in a systems of systems approach. Warning systems can serve as as representative example for a class of applications where this need for change can be witnessed. Currently, warning systems are mainly specific developments with a generally similar but unique and often monolithic architecture. For fulfilling these upcoming new requirements reference architectures for such system classes are necessary in order to prevent the current reinvention of wheels with each new implementation. This paper presents a reference architecture developed on the basis of several years of research and tested in the KATWARN warning systems. The approach has been tested in a wide area of application contexts ranging from mass application of a population warning system with approximately 4 million users in Germany and Austria to local target group-specific warning systems for critical infrastructures and large chemical industry plants. Based on the foundations of event-based and asynchronous architecture paradigms the implementation is described in a microservice-based reference architecture. The architecture demonstrates how to meet high performance, robustness and scalability requirements in distributed process environments.
Keywords: Disaster management; Early warning/alert systems; System architectures; Microservices; Distributed processing (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-99654-7_14
Ordering information: This item can be ordered from
http://www.springer.com/9783319996547
DOI: 10.1007/978-3-319-99654-7_14
Access Statistics for this chapter
More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().