Recognizing patterns in streams with imprecise timestamps
نویسندگان
چکیده
منابع مشابه
Recognizing Patterns in Streams with Imprecise Timestamps
Large-scale event systems are becoming increasingly popular in a variety of domains. Event pattern evaluation plays a key role in monitoring applications in these domains. Existing work on pattern evaluation, however, assumes that the occurrence time of each event is known precisely and the events from various sources can be merged into a single stream with a total or partial order. We observe ...
متن کاملRecognizing Patterns in Streams with Imprecise Timestamps Technical Report
Large-scale event systems are becoming increasingly popular in a variety of domains. Event pattern evaluation plays a key role in monitoring applications in these domains. Existing work on pattern evaluation, however, assumes that the occurrence time of each event is known precisely and the events from various sources can be merged into a single stream with a total or partial order. We observe ...
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Existing real-time monitoring approaches assume traces with precise timestamps. Their correctness is thus indefinite when monitoring the behavior of systems with imprecise clocks. We address this problem for a metric temporal logic: We identify classes of formulas for which we can leverage existing monitors to correctly reason about observed system
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ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2010
ISSN: 2150-8097
DOI: 10.14778/1920841.1920875