Response time

Results: 1810



#Item
31

Response Time Distribution of Flash Memory Accesses Peter G. Harrison1 Naresh M. Patel2 and Soraya Zertal3 1 Imperial College London, South Kensington Campus, London SW7 2AZ, UK

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Source URL: pubs.doc.ic.ac.uk

- Date: 2012-01-20 10:36:59
    32

    Using Bulk Arrivals to Model I/O Request Response Time Distributions in Zoned Disks and RAID systems A.S. Lebrecht, N.J. Dingle, P.G. Harrison, W.J. Knottenbelt and S. Zertal Department of Computing, Imperial College Lon

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    Source URL: pubs.doc.ic.ac.uk

    - Date: 2011-11-14 09:41:14
      33

      Ideate Customer Quotes “I contacted Ideate Support with a problem in AutoCAD Civil 3D and heard back from Ideate Tech Expert Matt Miyamoto. His personal response time was less than 15 minutes and the solution was exa

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      Source URL: www.ideateinc.com

      - Date: 2014-06-09 17:50:02
        34

        Response times in Client-Server Systems A.J. Field* , P.G. Harrison*, J. Parry† Abstract. Response time is the key performance measure in on-line transaction processing systems and other client-server architectures. No

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        Source URL: pubs.doc.ic.ac.uk

        - Date: 2011-11-14 09:12:24
          35

          Response Time Analysis of Synchronous Data Flow Programs on a Many-Core Processor—Full Version Hamza Rihani, Matthieu Moy, Claire Maiza, Robert I. Davis, Sebastian Altmeyer

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          Source URL: www-verimag.imag.fr

          - Date: 2016-10-12 08:01:25
            36

            Form Approved OMB NoREPORT DOCUMENTATION PAGE Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching

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            Source URL: www.dtic.mil

            - Date: 2013-12-03 05:19:48
              37

              Response time distributions and network perturbation into product-form Peter G. Harrison∗ Maria G. Vigliotti∗

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              Source URL: pubs.doc.ic.ac.uk

              - Date: 2009-11-18 19:35:13
                38

                Challenge On Online Time Series Clustering For Demand Response OPTIC - A Theory to Break the ‘Curse of Dimensionality’ Ranjan Pal, Charalampos Chelmis, Chandra Tadepalli Marc Frincu, Saima Aman, Viktor Prasanna Unive

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                Source URL: ganges.usc.edu

                - Date: 2015-07-14 05:37:25
                  39

                  Big Data Analytics for Demand Response: Clustering Over Space and Time Charalampos Chelmis Department of Electrical Engineering University of Southern California Los Angeles, CA, USA

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                  Source URL: ganges.usc.edu

                  - Date: 2016-02-07 22:53:48
                    40

                    HYDRA: HYpergraph-based Distributed Response-time Analyser Nicholas J. Dingle∗ Peter G. Harrison

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                    Source URL: pubs.doc.ic.ac.uk

                    - Date: 2007-03-24 10:25:21
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