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| Titel |
A Framework for Monitoring and Maintenance of a Tsunami Early Warning System using ITIL® |
| VerfasserIn |
Stephan Gensch, Michael Günther, Ralph Henneberger, Angelo Strollo |
| Konferenz |
EGU General Assembly 2013
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 15 (2013) |
| Datensatznummer |
250082192
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| Zusammenfassung |
| Within this work, we present our approach and ongoing efforts to establish monitoring and
maintenance processes for Tsunami Early Warning Systems. Practical work is done within
the context of the Indonesian Tsunami Warning System (INATEWS) at Badan Meteorologi,
Klimatologi dan Geofisika (BMKG) in Jakarta, Indonesia. The German contribution is well
known as GITEWS. INATEWS is composed of several thousand integrated system
components and numerous software processes. Due to the heterogeneity and complexity of
the system, as well as the high availability needs, being an operational TEWS, real-time
monitoring, reporting and scheduled preventive maintenance are needed. To develop and
install an organizational and operational methodology for maintenance processes
for INATEWS, we asserted ITIL® methods and are in development of Standard
Operating Procedures (SOP) together with BMKG operational and management
staff.
ITIL®-conforming methods are one means of IT Service Management which has been
adopted by a variety of service oriented IT providers. An early warning system does not
expose classical consumer services, but the dissemination of warning messages and an early
warning as a product may nevertheless be viewed as distinct services provided by a TEWS.
We applied methods from ITIL® to the modular and hierarchical components of an early
warning center, where minimum requirements on service availability, reliability and
correctness of the warning product exist, from dissemination down to each sensor
component. We describe functions of actors that ensure management of incidents and
problems, as well as managing applications, IT operations and further technical
issues.
For the components of the early warning system, we present a model of event detection
and event resolution. Real-time monitoring provides automated health-checks. Errors
lead to reports to designated targets. Preventive maintenance provides findings
on data and system availability, and data quality. Each of the three may lead to
event detection, which is filtered, categorized and prioritized. As soon as an event is
detected, a corrective maintenance process is triggered, which is modeled as a circular
process.
The developed procedure is being tested on the full process chain for the seismic
component. Afterwards, the model will be applied to the full INATEWS system. Although we
present a tailor-made approach for INATEWS, the general schema of our approach can
be useful for large and complex warning systems with a multitude of sensors and
sensor systems that are widely geographically distributed. It may help to keep each
component at a functional level, so that the final product, the dissemination of a warning
message, is not going to be endangered, due to malfunction of a sub-component. |
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