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A self-managing wide-area data streaming service

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Abstract

Efficient and robust data streaming services are a critical requirement of emerging Grid applications, which are based on seamless interactions and coupling between geographically distributed application components. Furthermore the dynamism of Grid environments and applications requires that these services be able to continually manage and optimize their operation based on system state and application requirements. This paper presents a design and implementation of such a self-managing data-streaming service based on online control strategies. A Grid-based fusion workflow scenario is used to evaluate the service and demonstrate its feasibility and performance.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Rutgers University, 94 Brett Road, Piscataway, NJ, 08854, USA

    Viraj Bhat & Manish Parashar

  2. Xerox Innovation Group, 800 Phillips Rd, Mailstop 128-30E, Webster, NY, 14580, USA

    Hua Liu

  3. Department of Electrical and Computer Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104, USA

    Nagarajan Kandasamy & Mohit Khandekar

  4. Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, TN, 37831, USA

    Scott Klasky

  5. Institute for Software Integrated Systems, 2015 Terrace Place, Nashville, TN, 37235, USA

    Sherif Abdelwahed

Authors
  1. Viraj Bhat
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  2. Manish Parashar
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  3. Hua Liu
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  4. Nagarajan Kandasamy
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  5. Mohit Khandekar
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  6. Scott Klasky
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  7. Sherif Abdelwahed
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Correspondence to Viraj Bhat.

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Bhat, V., Parashar, M., Liu, H. et al. A self-managing wide-area data streaming service. Cluster Comput 10, 365–383 (2007). https://doi.org/10.1007/s10586-007-0023-x

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  • DOI: https://doi.org/10.1007/s10586-007-0023-x

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