Stream processing

Results: 471



#Item
1N EPTUNE: Real Time Stream Processing for Internet of Things and Sensing Environments Thilina Buddhika and Shrideep Pallickara Department of Computer Science Colorado State University, USA Email: {thilinab, shrideep}@cs.

N EPTUNE: Real Time Stream Processing for Internet of Things and Sensing Environments Thilina Buddhika and Shrideep Pallickara Department of Computer Science Colorado State University, USA Email: {thilinab, shrideep}@cs.

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Source URL: granules.cs.colostate.edu

Language: English - Date: 2015-12-19 12:03:31
    2CONDITIONAL TECHNIQUES FOR STREAM PROCESSING KERNELS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ELECTRICAL ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES

    CONDITIONAL TECHNIQUES FOR STREAM PROCESSING KERNELS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ELECTRICAL ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES

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    Source URL: www-vlsi.stanford.edu

    Language: English - Date: 2004-02-12 20:23:08
      3Handling Shared, Mutable State in Stream Processing with Correctness Guarantees Nesime Tatbul1,2 , Stan Zdonik3 , John Meehan3 , Cansu Aslantas3 , Michael Stonebraker2 , Kristin Tufte4 , Chris Giossi4 , Hong Quach4 1 2

      Handling Shared, Mutable State in Stream Processing with Correctness Guarantees Nesime Tatbul1,2 , Stan Zdonik3 , John Meehan3 , Cansu Aslantas3 , Michael Stonebraker2 , Kristin Tufte4 , Chris Giossi4 , Hong Quach4 1 2

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      Source URL: sstore.cs.brown.edu

      Language: English - Date: 2017-05-10 17:03:46
        4SPL: An Extensible Language for Distributed Stream Processing MARTIN HIRZEL and SCOTT SCHNEIDER, IBM Thomas J. Watson Research Center ˘ BUGRA GED˙IK, Bilkent University

        SPL: An Extensible Language for Distributed Stream Processing MARTIN HIRZEL and SCOTT SCHNEIDER, IBM Thomas J. Watson Research Center ˘ BUGRA GED˙IK, Bilkent University

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        Source URL: hirzels.com

        Language: English - Date: 2017-03-21 09:49:54
          5Optimizing The Lazy DFA Approach for XML Stream Processing Danny Chen Raymond K. Wong School of Computer Science & Engineering

          Optimizing The Lazy DFA Approach for XML Stream Processing Danny Chen Raymond K. Wong School of Computer Science & Engineering

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          Source URL: crpit.com

          Language: English - Date: 2012-01-19 01:27:20
            6PeGaSus: Data-Adaptive Differentially Private Stream Processing Yan Chen Ashwin Machanavajjhala

            PeGaSus: Data-Adaptive Differentially Private Stream Processing Yan Chen Ashwin Machanavajjhala

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            Source URL: users.cs.duke.edu

            - Date: 2017-09-05 13:09:33
              7Fault-Tolerance in the Borealis Distributed Stream Processing System Magdalena Balazinska, Hari Balakrishnan, Samuel Madden, and Michael Stonebraker MIT Computer Science and Artificial Intelligence Laboratory The Stata C

              Fault-Tolerance in the Borealis Distributed Stream Processing System Magdalena Balazinska, Hari Balakrishnan, Samuel Madden, and Michael Stonebraker MIT Computer Science and Artificial Intelligence Laboratory The Stata C

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              Source URL: nms.lcs.mit.edu

              - Date: 2005-04-03 19:54:08
                8Samza: Stateful Scalable Stream Processing at LinkedIn Shadi A. Noghabi*, Kartik Paramasivam† , Yi Pan† , Navina Ramesh† , Jon Bringhurst† , Indranil Gupta*, and Roy H. Campbell* *University of Illinois at Urbana

                Samza: Stateful Scalable Stream Processing at LinkedIn Shadi A. Noghabi*, Kartik Paramasivam† , Yi Pan† , Navina Ramesh† , Jon Bringhurst† , Indranil Gupta*, and Roy H. Campbell* *University of Illinois at Urbana

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                Source URL: www.vldb.org

                - Date: 2017-08-08 00:17:19
                  9From a Calculus to an Execution Environment for Stream Processing Robert Soul´e Martin Hirzel

                  From a Calculus to an Execution Environment for Stream Processing Robert Soul´e Martin Hirzel

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                  Source URL: www.cs.cornell.edu

                  - Date: 2012-05-30 21:42:49
                    10Laboratoire de l’Informatique du Parallélisme École Normale Supérieure de Lyon Unité Mixte de Recherche CNRS-INRIA-ENS LYON-UCBL no 5668 Resource Allocation Strategies for In-Network Stream Processing

                    Laboratoire de l’Informatique du Parallélisme École Normale Supérieure de Lyon Unité Mixte de Recherche CNRS-INRIA-ENS LYON-UCBL no 5668 Resource Allocation Strategies for In-Network Stream Processing

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                    Source URL: www.ens-lyon.fr

                    - Date: 2008-06-26 10:40:24