D 2IA: User-defined interval analytics on distributed streams

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dc.contributor.authorAwad, Ahmed
dc.contributor.authorTommasini, Riccardo
dc.contributor.authorLanghi, Samuele
dc.contributor.authorKamel, Mahmoud
dc.contributor.authorDella Valle, Emanuele
dc.contributor.authorSakr, Sherif
dc.date.accessioned2025-05-06T10:03:26Z
dc.date.available2025-05-06T10:03:26Z
dc.date.issued2022
dc.description.abstractNowadays, modern Big Stream Processing Solutions (e.g. Spark, Flink) are working towards being the ultimate framework for streaming analytics. In order to achieve this goal, they started to offer extensions of SQL that incorporate stream-oriented primitives such as windowing and Complex Event Processing (CEP). The former enables stateful computation on infinite sequences of data items while the latter focuses on the detection of events pattern. In most of the cases, data items and events are considered instantaneous, i.e., they are single time points in a discrete temporal domain. Nevertheless, a point-based time semantics does not satisfy the requirements of a number of use-cases. For instance, it is not possible to detect the interval during which the temperature increases until the temperature begins to decrease, nor for all the relations this interval subsumes. To tackle this challenge, we present D 2IA; a set of novel abstract operators to define analytics on user-defined event intervals based on raw events and to efficiently reason about temporal relationships between intervals and/or point events. We realize the implementation of the concepts of D 2IA on top of Flink, a distributed stream processing engine for big data.
dc.identifier.citationAwad, A. et al. (2022) “D2IA: User-defined interval analytics on distributed streams,” Information Systems, 104, p. 1.
dc.identifier.doihttps://doi.org/10.1016/j.is.2020.101679.
dc.identifier.issn0306-4379
dc.identifier.urihttps://bspace.buid.ac.ae/handle/1234/2936
dc.language.isoen
dc.publisherProQuest Central
dc.relation.ispartofseriesInformation Systems Volume 104, February 2022, 101679
dc.subjectBig Stream ProcessingComplex Event ProcessingUser-defined event intervals
dc.titleD 2IA: User-defined interval analytics on distributed streams
dc.typeArticle
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Dr Ahmed Awad