End-to-end congestion control schemes: utility functions, random losses and ECN marks
By Srisankar S. Kunniyur, Rayadurgam Srikant. Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064), 2000
713 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/8cfef42cfd7ab8c3a164a1486e595ccb0b6d0425
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Steven H. Low
- Ness B. Shroff
- Xiaojun Lin
- Mung Chiang
- Rayadurgam Srikant
- Srisankar S. Kunniyur
- Larry L. Peterson
- Senior Member
In Computer Networks and Communications
- Mung Chiang
- Steven H. Low
- John C. Doyle
- Rayadurgam Srikant
- Ness B. Shroff
- Sanjay Shakkottai
- Xiaojun Lin
- Lijun Chen
Citations in the corpus
- Hop-by-Hop Congestion Control Over a Wireless Multi-Hop Network (2004, background): “Over the past few years, the problem of congestion control has received wide-spread attention, both in the Internet context [1], [ 2 ], [3], as well as in an ad-hoc network context [4].”
- An adaptive virtual queue (AVQ) algorithm for active queue management (2004, methodology): “Let xi(t) be the o w-rate of user i at time t: We will model the TCP users using the 1 d2x utility function as proposed in [ 6 ].”
- Achieving MAC layer fairness in wireless packet networks (2000, background): “I t has been shown in [14] that for a system of equations of this form, the aggregate util i ty ~-~iew J(ri) is maximized when each individual flow i maximizes its own objective function J(ri).”
- Utility maximization for communication networks with multipath routing (2006, methodology): “The AVQ algorithm [12], [15] is also worth mentioning as an extension of the primal algorithms in [2] for computing exact solutions.”
- Non-convex optimization and rate control for multi-class services in the Internet (2005, background): “In the past few years, utility based rate control problems ha ve begun to be addressed by the networking research community [2], [3], [4], [5], [6], [7], [8], [9] .”
- Cross-layer design for wireless networks (2003, background): “indicating congestion. In [ 6 ], it has been analytically shown that in a single user environment, if packets”
- Dynamics of TCP/RED and a scalable control (2002, background): “The same stability analysis can also be applied to other AQMs, such as Virtual Queue [16], [17], [18] and REM/PI [19], [6], and clarifies the role of AQM.”
- Cross-Layer Congestion Control, Routing and Scheduling Design in Ad Hoc Wireless Networks (2006, background): “RELATED WORK The work in [13], [15], [20], [21] provides a utility-based optimization framework for Internet congestion control.”