Abstract
Traffic measurement and monitoring is an important component of network QoS management and traffic engineering. With high-speed Internet links, efficient and effective packet sampling techniques for traffic measurement are not only desirable, but increasingly becoming a necessity. In this paper, we propose and analyze an adaptive random packet sampling technique for traffic load measurement. In particular, we address the problem of bounding sampling error within a pre-specified tolerance level. Using real network traffic traces, we show that the proposed adaptive random sampling technique indeed produces the desired accuracy, while also yielding significant reduction in the amount of traffic samples.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
