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Quantification of packet delay variation through the coefficient of throughput variation
Author(s) -
Tahir Nawaz Minhas,
Markus Fiedler,
Patrik Arlos
Publication year - 2010
Publication title -
kth publication database diva (kth royal institute of technology)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/1815396.1815474
Subject(s) - computer science , bottleneck , throughput , network packet , real time computing , metric (unit) , sample (material) , voice over ip , percentile , variation (astronomy) , end to end delay , computer network , statistics , embedded system , the internet , telecommunications , engineering , mathematics , physics , astrophysics , wireless , operations management , chemistry , chromatography , world wide web
Packet delay variation plays an important role in network performance degradation and affects the user-perceptual quality, especially in case of real-time services such as video streaming, VoIP etc. Lightweight methods for detecting network performance issues are desirable as compared to taskintensive measurement and analysis. On this background, this paper discusses the applicability of the Coefficient of Throughput Variation (CoTV) to quickly and reliably detect bottleneck behavior between two arbitrary points in a network. The CoTV can be used as a Reduced Reference Metric. It is relatively simple to calculate, compare and interpret, yet powerful to provide control feedback when facing changes in network performance. In this paper, we demonstrate above mentioned properties of the CoTV through a formula relating it to the sample interval of the throughput and the variability of the delay. The latter is shown to be detectable on time scales that are significantly larger than that of the variability itself. This observation is a key enabler for reducing the load on the device that performs the analysis due to the possibility to use large sample intervals. We also describe how difference and ratio of CoTV at outlet and inlet can be used to identify network performance issues

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