• DocumentCode
    1348060
  • Title

    Service control point overload rules to protect intelligent network services

  • Author

    Northcote, Bruce S. ; Smith, Donald E.

  • Author_Institution
    Bellcore, Red Bank, NJ, USA
  • Volume
    6
  • Issue
    1
  • fYear
    1998
  • fDate
    2/1/1998 12:00:00 AM
  • Firstpage
    71
  • Lastpage
    81
  • Abstract
    This paper analyzes implementations of automatic code gapping (ACG) in intelligent network service control points (SCPs). The objective is to identify ACG controls that provide high call throughput while protecting the network from overloads. To achieve this we emphasize the need for careful engineering of vendors´ control implementations (for example, the proper choice and use of internal SCP measurements) within the constraints of present ACG requirements. We use simulation and find that algorithms that use a combination of processor utilization measurements and measurements of excessive response times can yield reasonable call throughput. Shortening the measurement intervals to speed up the rate at which the SCP can change the rate at which traffic arrives to it further improves the call throughput. Finally, making the sizes of the rate changes smaller refines the granularity of the control and leads to better results
  • Keywords
    digital simulation; intelligent networks; telecommunication computing; telecommunication congestion control; telecommunication traffic; algorithms; automatic code gapping; excessive response times measurement; high call throughput; intelligent network services protection; internal SCP measurements; measurement intervals; processor utilization measurements; service control point overload rules; simulation; traffic arrival rate; Automatic control; Carbon capture and storage; Current measurement; Delay; Frequency measurement; Intelligent networks; Protection; Protocols; Telecommunication control; Throughput;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/90.663941
  • Filename
    663941