Data networks (2nd ed.)
Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Multiservice Loss Models for Broadband Telecommunication Networks
Multiservice Loss Models for Broadband Telecommunication Networks
Insensitivity in processor-sharing networks
Performance Evaluation
Insensitive Bandwidth Sharing in Data Networks
Queueing Systems: Theory and Applications
On performance bounds for balanced fairness
Performance Evaluation - Internet performance symposium (IPS 2002)
A queueing analysis of max-min fairness, proportional fairness and balanced fairness
Queueing Systems: Theory and Applications
On light and heavy traffic approximations of balanced fairness
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
Dimensioning of wireless mesh networks with flow-level QoS requirements
Proceedings of the 3rd ACM international workshop on Performance evaluation of wireless ad hoc, sensor and ubiquitous networks
An approximative method for calculating performance measures of Markov processes
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Approximating flow throughput in complex data networks
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
ACM SIGMETRICS Performance Evaluation Review - Performance evaluation review
Congestion in large balanced multirate networks
Queueing Systems: Theory and Applications
Hi-index | 0.00 |
We consider a tree network whose resources are shared by a dynamically varying number of elastic flows. We present an efficient method for calculating performance metrics such as flow throughputs when the resource allocation is balanced fair. The method is based on a recursive algorithm for computing the normalization constant of the stationary distribution. Several examples are worked out. A proof is given for the Pareto efficiency of balanced fairness in tree networks.