SIGMETRICS '97 Proceedings of the 1997 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Sharing a Processor Among Many Job Classes
Journal of the ACM (JACM)
Dimensioning bandwidth for elastic traffic in high-speed data networks
IEEE/ACM Transactions on Networking (TON)
Statistical bandwidth sharing: a study of congestion at flow level
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Modeling integration of streaming and data traffic
Performance Evaluation
On performance bounds for the integration of elastic and adaptive streaming flows
Proceedings of the joint international conference on Measurement and modeling of computer systems
Performance of TCP-friendly streaming sessions in the presence of heavy-tailed elastic flows
Performance Evaluation - Long range dependence and heavy tail distributions
Tail asymptotics for discriminatory processor-sharing queues with heavy-tailed service requirements
Performance Evaluation - Long range dependence and heavy tail distributions
Queueing Systems: Theory and Applications
A queueing analysis of max-min fairness, proportional fairness and balanced fairness
Queueing Systems: Theory and Applications
| Hi-index | 0.00 |
We introduce two throughput metrics referred to as flow- and time-sampled throughputs. The former gives the throughput statistics of an arbitrary flow while the latter weights these throughput statistics by the flow durations. Under fair sharing assumptions, the latter is shown to coincide with the steady-state instantaneous throughput weighted by the number of flows, which provides a useful means to measure and estimate it. We give some generic properties satisfied by both the metrics and illustrate their difference on a few examples.