• DocumentCode
    3603373
  • Title

    Deadline Assignment and Feedback Control for Differentiated Real-Time Data Services

  • Author

    Yan Zhou ; Kyoung-Don Kang

  • Author_Institution
    Dept. of Comput. Sci., State Univ. of New York at Binghamton, Binghamton, NY, USA
  • Volume
    27
  • Issue
    12
  • fYear
    2015
  • Firstpage
    3245
  • Lastpage
    3257
  • Abstract
    It is challenging to process real-time data service requests, such as online trade or traffic monitoring requests, within their deadlines, while providing differentiated real-time data services. To address the problem, we present new approaches to 1) assigning deadlines to real-time data service requests based on their data access needs and service classes to differentiate real-time data services when the system is busy and 2) closely supporting the specified target delay to deadline ratio (DDR)-the ratio of actual data service delays to deadlines-via feedback control even in the presence of dynamic workloads. Further, we have actually implemented our approaches by extending an open source database unlike most existing work on real-time databases. The experimental results show that our approach closely supports the target DDR bound and service differentiation requirements among the service classes unlike the tested baselines representing the current state of the art in real-time database research.
  • Keywords
    data handling; database management systems; feedback; public domain software; deadline assignment; differentiated real-time data services; dynamic workloads; feedback control; open source database; real-time data service requests; real-time databases; target DDR bound; target delay to deadline ratio; Control systems; Databases; Feedback control; Monitoring; Online services; Real-time systems; Stock markets; Telecommunication traffic; Deadline Assignment; Differentiated Real-Time Data Services; Differentiated real-time data services; Feedback Control; deadline assignment; feedback control;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/TKDE.2015.2441725
  • Filename
    7134793