The Mean Resequencing Delay for M/H/sub K// Infinity Systems
IEEE Transactions on Software Engineering
Dummynet: a simple approach to the evaluation of network protocols
ACM SIGCOMM Computer Communication Review
Differentiated end-to-end Internet services using a weighted proportional fair sharing TCP
ACM SIGCOMM Computer Communication Review
ACM SIGCOMM Computer Communication Review
NIST Net: a Linux-based network emulation tool
ACM SIGCOMM Computer Communication Review
Probe-Aided MulTCP: an aggregate congestion control mechanism
ACM SIGCOMM Computer Communication Review
A distributed passive measurement infrastructure
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
The throughput utility function: assessing network impact on mobile services
EURO-NGI'05 Proceedings of the Second international conference on Wireless Systems and Network Architectures in Next Generation Internet
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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 task-intensive 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.