Supporting Phase Management in Stream Applications

Schüller, Gereon; Schmiegelt, Philip; Behrend, Andreas

doi:10.1007/978-3-642-33074-2_25

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…The concept of phase has been proposed in our previous work (Schüller et al, 2012;Schmiegelt et al, 2013). It provides a high-level and feasible databasecentric approach to design complex monitoring systems (air traffic, patient, etc.).…”

Section: Phase Support In Detailmentioning

confidence: 99%

Database Functionalities for Evolving Monitoring Applications

Schmiegelt

Xie²,

Schüller³

et al. 2013

Proceedings of the 2nd International Conference on Data Technologies and Applications

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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.

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Section: Phase Support In Detailmentioning

confidence: 99%

Database Functionalities for Evolving Monitoring Applications

Schmiegelt

Xie²,

Schüller³

et al. 2013

Proceedings of the 2nd International Conference on Data Technologies and Applications

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“…The concept of phases has been formally defined in (Schüller et al, 2012). In this section, we will briefly recall the core ideas of phases and more details about the formal definitions and semantics can be found there.…”

Section: Phasesmentioning

confidence: 99%

“…Furthermore, the concept of phases have been used, e.g. in airspace monitoring (Schüller et al, 2010) and has also been discussed in (Schüller et al, 2012) in more details.…”

Section: Related Workmentioning

confidence: 99%

Towards an Integrated Approach to Monitor and Analyse Health Care Data using Relational Databases

Schmiegelt

Xie²,

Schüller³

et al. 2013

Proceedings of the International Conference on Health Informatics

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In modern patient monitoring systems a tremendous amount of data is gathered, stored, and analysed to support doctors in making important decisions in a timely manner. To this end, different types of data from different sources have to be processed such as sensor readings of patients vitals, meta-data like the age and weight of a patient, and historical data like performed treatments or therapies. Most of the data is low-level and has an intrinsically temporal nature which need to be preprocessed for doctors to find high-level information in an efficient way. In monitoring scenarios however, aside from the detection of critical situations of patients, medics are often interested in the phases in which their patients are most probably in. In this paper, we show how phase analysis can considerably reduce the syntactic complexity of continuous queries as provided by the Continuous Query Language (CQL). Such phases provide an advanced and higher level of abstraction enabling effective and intuitive formulation of queries comparing to classic CQL. This can greatly improve the development efficiency and reduce the maintenance complexity of patient monitoring system.

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