Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
End-to-end congestion control for the internet: delays and stability
IEEE/ACM Transactions on Networking (TON)
Stability of Autonomous Decentralized Flow Control Schemes in High-Speed Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
Global Optimization Using Local Information with Applications to Flow Control
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
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In our previous studies, we have proposed diffusion-typeflow control for high-speed networks. The reason forproposing this type of control is that decision-making ateach node leads to high performance of the whole networkalthough each individual node handles its local traffic flowonly on the basis of the information it is aware of fromits immediately adjacent nodes. Our control method exhibitsthe desired stability and adaptability of network performanceeven when the network has an heterogeneous configuration and the capacity of links is dynamically changed.However, in order to make a comparison with other flowcontrol methods under the same conditions, our evaluationused a closed network model, in which the number ofpackets was unchanged. This paper investigates the performanceof our flow control method using an open networkmodel, in order to show that our flow control method is stilleffective in more realistic networks. We identify the key issuesassociated with our flow control in an open networkmodel, and demonstrate a solution.