1st International ICST Conference on Communication System Software and MiddleWare

Research Article

VoIP service quality monitoring using active and passive probes

  • @INPROCEEDINGS{10.1109/COMSWA.2006.1665188,
        author={Shipra  Agrawal and P. P. S. Narayan and  Jeyashankher Ramamirtham and  Rajeev  Rastogi and Marina  Thottan and Mark  Smith and Ken  Swanson},
        title={VoIP service quality monitoring using active and passive probes},
        proceedings={1st International ICST Conference on Communication System Software and MiddleWare},
        publisher={IEEE},
        proceedings_a={COMSWARE},
        year={2006},
        month={8},
        keywords={VoIP Passive probe Active probe Service quality monitoring Network measurements},
        doi={10.1109/COMSWA.2006.1665188}
    }
    
  • Shipra Agrawal
    P. P. S. Narayan
    Jeyashankher Ramamirtham
    Rajeev Rastogi
    Marina Thottan
    Mark Smith
    Ken Swanson
    Year: 2006
    VoIP service quality monitoring using active and passive probes
    COMSWARE
    IEEE
    DOI: 10.1109/COMSWA.2006.1665188
Shipra Agrawal1, P. P. S. Narayan1, Jeyashankher Ramamirtham1, Rajeev Rastogi1, Marina Thottan1, Mark Smith1, Ken Swanson1
  • 1: Bell Labs Res., Lucent Technol., Bangalore

Abstract

Service providers and enterprises all over the world are rapidly deploying Voice over IP (VoIP) networks because of reduced capital and operational expenditure, and easy creation of new services. Voice traffic has stringement requirements on the quality of service, like strict delay and loss requirements, and 99.999% network availability. However, IP networks have not been designed to easily meet the above requirements. Thus, service providers need service quality management tools that can proactively detect and mitigate service quality degradation of VoIP traffic. In this paper, we present active and passive probes that enable service providers to detect service impairments. We use the probes to compute the network parameters (delay, loss and jitter) that can be used to compute the call quality as a Mean Opinion Score using a voice quality metric, E-model. These tools can be used by service providers and enterprises to identify network impairments that cause service quality degradation and take corrective measures in real time so that the impact on the degradation perceived by end-users is minimal