Analysis of source policy and its effects on TCP in rate-controlled ATM networks
IEEE/ACM Transactions on Networking (TON)
Performance analysis of a rate-based feedback control scheme
IEEE/ACM Transactions on Networking (TON)
A control-theoretic approach to the design of an explicit rate controller for ABR service
IEEE/ACM Transactions on Networking (TON)
Enhanced distributed explicit rate allocation for ABR services in ATM networks
IEEE/ACM Transactions on Networking (TON)
The ERICA switch algorithm for ABR traffic management in ATM networks
IEEE/ACM Transactions on Networking (TON)
Explicit rate flow control for ABR services in ATM networks
IEEE/ACM Transactions on Networking (TON)
A rate-based flow control method for ABR service in ATM networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special Issue: performance modeling and evaluation of ATM networks
A predictive self-tuning fuzzy-logic feedback rate controller
IEEE/ACM Transactions on Networking (TON)
A new single-bit feedback congestion scheme for ATM networks
Computer Communications
Hi-index | 0.24 |
Forward explicit congestion notification (FECN) plays an important role in rate-based flow control for asynchronous transfer mode (ATM) networks. This paper presents a case study in predicting and evaluating the performance of the FECN flow control. Two network models are under investigation; the first model assumes that a target ATM network has no traffic congestion, while the second model assumes that the network has exhibited heavy congestion. For the light-loaded network, we first estimate the number of cells issued by the source during each time interval and then calculate the required number of resource management (RM) cells in the same time interval. A general analytical form to predict allowable cell rate (ACR) at the source can be finally derived. For the heavy-loaded network, RM cells may be delayed and data cells may be discarded due to severe network congestion. Hence, to derive a general form of ACR, we need to estimate the round-trip time (RTT) of RM cells based on the queuing length of the traversed ATM switches. For the purpose of validation, we perform simulation through OPNET. The performance parameters of our interest include the ACR, the RTT of RM cells, the throughput and the cell loss ratio. We have shown that the differences between the analytical and the simulation results are quite small not only in the ACR adjusting rate, but also in the prediction of the system throughput, the CLR, and the RTT of RM cells.