Stream Processing Languages in the Big Data Era

Keywords

Computer science, Stream processing, Data stream mining, STREAMS, Big data

References

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• Fundamentals of Stream Processing: Application Design, Systems, and AnalyticsH. Andrade, B. Gedik, D. Turaga — 2014
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• Modular domain specific languages and toolsPaul Hudak — 1998
• River: an intermediate language for stream processingRobert Soulé, Martin Hirzel, Buğra Gedik — 2016
• Complex event processing over uncertain dataSegev Wasserkrug, Avigdor Gal, Opher Etzion — 2008
• Discretized streams: fault-tolerant streaming computation at scaleMatei Zaharia, Tathagata Das, Haoyuan Li — 2013
• Controlled english language for production and event processing rulesMark H. Linehan, Sylvain Dehors, Ella Rabinovich — 2011
• EventScript: an event-processing language based on regular expressions with actionsNorman Cohen, Karl Trygve Kalleberg — 2008
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• A denotational semantics for continuous queries over streams and relationsArvind Arasu, Jennifer Widom — 2004
• Models and issues in data stream systemsBrian Babcock, Shivnath Babu, Mayur Datar — 2002

Cited by

• Dagstuhl Seminar on Big Stream ProcessingSherif Sakr, Tilmann Rabl, Martin Hirzel — 2019
• Adaptive Watermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data StreamsAhmed Awad, Jonas Traub, Sherif Sakr — 2019
• Continuous Analytics of Web StreamsRiccardo Tommasini, Robin Keskisärkkä, Jean-Paul Calbimonte — 2019
• An Outlook to Declarative Languages for Big Steaming DataRiccardo Tommasini, Sherif Sakr, Marco Balduini — 2019
• Robust Stream Reasoning Under UncertaintyDaniel de Leng — 2019
• Declarative Languages for Big Streaming DataRiccardo Tommasini, Sherif Sakr, Emanuele Della Valle — 2020
• Towards Streaming Evaluation of Queries with Correlation in Complex Event ProcessingAlejandro Grez, Cristian Riveros — 2020
• On the Expressiveness of Languages for Complex Event RecognitionAlejandro Grez, Cristian Riveros, Martín Ugarte — 2020
• Regular Path Query Evaluation on Streaming GraphsAnil Pacaci, Angela Bonifati, M. TAMER ÖZSU — 2020
• NAMB: A Quick and Flexible Stream Processing Application Prototype GeneratorAlessio Pagliari, Fabrice Huet, Guillaume Urvoy-Keller — 2020
• Experimental Comparison of Complex Event Processing Systems in the Maritime DomainAlexandros Troupiotis-Kapeliaris, Konstantinos Chatzikokolakis, Dimitris Zissis — 2020
• A survey on the evolution of stream processing systemsMarios Fragkoulis, Paris Carbone, Vasiliki Kalavri — 2020
• Meet me halfwayChristian Winter, Tobias Schmidt, Thomas Neumann — 2020
• In-order sliding-window aggregation in worst-case constant timeKanat Tangwongsan, Martin Hirzel, Scott Schneider — 2020
• D2IA: User-defined interval analytics on distributed streamsAhmed Awad, Riccardo Tommasini, Samuele Langhi — 2020
• Evaluating Complex Queries on Streaming GraphsAnil Pacaci, Angela Bonifati, M. TAMER ÖZSU — 2021
• Extending Kafka Streams for Complex Event RecognitionSamuele Langhi, Riccardo Tommasini, Emanuele Della Valle — 2020
• Online correlation for unlabeled process events: A flexible CEP-based approachIman M. A. Helal, Ahmed Awad — 2022
• Examining the Nexus between the Vs of Big Data and the Sustainable Challenges in the Textile IndustryRosangela de Fátima Pereira Marquesone, Tereza Cristina Melo de Brito Carvalho — 2022
• RDF-Gen: generating RDF triples from big data sourcesGeorgios M. Santipantakis, Konstantinos Kotis, Apostolos Glenis — 2022

Related papers

• Towards the Stream Analysis Model in Grid-based Zero-Latency Data Stream WarehouseTho Manh Nguyen, A Min Tjoa, Josef Schiefer — 2005
• Classification of Concept Drift Data StreamsE. Padmalatha, C. R. K. Reddy, B. Padmaja Rani — 2014
• Mining Weighted Frequent Itemsets Using Window Sliding over Data StreamsYounghee Kim, Wonyoung Kim, Joon-Suk Ryu — 2009
• A general streaming algorithm for pattern discoveryDebprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli — 2013
• Mining frequent itemsets over tuple-evolving data streamsChongsheng Zhang, Mirjana Mazuran, Hamid Mousavi — 2013