An Upward Max-Min Fairness Multipath Flow Control
| Autor: | Nguyen H. Tran, Phuong Luu Vo, Tuan-Anh Le |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Equilibrium point
Flow control (data) Mathematical optimization Computer Networks and Communications Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020206 networking & telecommunications 02 engineering and technology Network utility maximization Network congestion Hardware and Architecture Max-min fairness Scalability Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer communication networks Software Multipath propagation Information Systems |
| Zdroj: | Mobile Networks and Applications. 25:1174-1177 |
| ISSN: | 1572-8153 1383-469X |
| Popis: | Many rate allocation algorithms for multipath flows which satisfy max-min fairness are centralized and not scalable. Upward max-min fairness is a well-known relaxation of max-min fairness and can be achieved by an algorithm extended from water-filling algorithm. In this paper, we propose a price-based multipath congestion control protocol whose equilibrium point satisfies upward max-min fairness. Our protocol is derived from a network utility maximization model for multipath flows. |
| Databáze: | OpenAIRE |
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