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Duality model of TCP/AQM
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Optimization Flow Control, I: Basic Algorithm and Convergence
S. H. Low and D. E. Lapsley
IEEE/ACM Transactions on Networking, 7(6):861-75, Dec. 1999
(with corrections)
This paper introduces a duality model of congestion control. It
derives source algorithm from utility function.
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A
Duality Model of TCP and Queue Management Algorithms
S. H. Low
ITC Specialist Seminar on IP Traffic Measurement, Modeling and
Management, September 18-20, 2000, Monterey, CA.
Updated version appears in IEEE/ACM Trans.
on Networking, 11(4):525-536, August 2003
This paper applies the duality model to current TCP protocols
(Reno, Vegas, RED, REM). It shows how to derive the utility
function of any source (TCP) algorthim.
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Understanding
Vegas: A Duality Model
S. H. Low, Larry Peterson and Limin Wang
Journal of ACM, 49(2):207-235, March 2002
This paper applies the duality model to TCP Vegas and
contains extensive validation simulations.
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Dynamics
of TCP/RED and a Scalable Control
S. H. Low, F. Paganini, J. Wang, S. Adlakha and J. C. Doyle
IEEE Infocom, June 2002
This paper studies the dynamics of TCP/RED and shows that Reno/RED
becomes unstable when delay increases, and more strikingly, when
network capacity increases!
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Analysis and Design of AQM for Stabilizing TCP
K. B. Kim and S. H. Low
Caltech Technical Report caltechCSTR:2002.009, March, 2002
This paper treats TCP Reno as a linear dynamical system and
studies AQMs that stabilize the system with minimum cost in
terms of transients in queue, rates, and jitter in rates
and probability.
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Scalable control
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Scalable
Laws for Stable Network Congestion Control
F. Paganini, J. C. Doyle and S. H. Low
IEEE CDC, Orlando, FL, December 2001.
This paper proposes a TCP/AQM algorithm that maintains linear
stability for arbitrary delay, capacity and routing,
while achieving high utilization with low loss and delay.
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A New TCP Congestion Control with Empty Queues and Scalable
Stability
F. Paganini, S. H. Low, Z. Wang, S. Athuraliya
and J. C. Doyle
Submitted for publication, 2002
This paper explores implementation issues of above scalable
protocol and present results from ns-2 simulations
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Stabilized Vegas
D. H. Choe and S. H. Low
Proc. of 39th Annual Allerton Conference
on Communication, Control, and Computing, Monticello, IL, October
2002
This paper shows that Stabilized Vegas, the modification of Vegas works
with DropTail routers that are predominate in the current Internet
and which has a natural incremental deployment path.
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REM
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Slides
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Optimization Flow Control, Dec
1997 - Dec 1999
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REM (Random Exponential Marking) , Infocom,
Tel Aviv, March 2000
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Duality model of TCP & AQM
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ITC Specialist Seminars, Sept 18-20, 2000 Monterey CA; CCW15, Oct 15-18,
2000, Captiva Island, FL; UCLA, EE Dept, February 7, 2001 (with update);
UC Berkeley, EECS Dept, February 8, 2001; NISS (National Institute
of Statistical Science) Workshop, Research Triangle Park, NC, March 9-10,
2001; DIMACS Workshop, Rutgers, NJ, March 26-27,2001;
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Tutorial: TCP Congestion Control: Algorithms and Models
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IEEE ICC, Louisiana (June 2000)
- Cisco (Nov 2000),
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Grampians Workshop, Australia (Dec 2000)
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IEEE Infocom (with Matthew Roughan), Anchorage, Alaska (April
2001)
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ACM Sigmetrics, Cambridge MA (June 2001)
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ACM
Sigcomm,
San Diego CA (August 2001)
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IPAM (Institute for Pure and Applied Math),
UCLA, CA (March 2002)
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Some related papers (suggestions welcome)
- Robustness
and Internet page
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Internet
Congestion Control
S. H. Low, F. Paganini and J. C. Doyle
IEEE Control Systems Magazine, 22(1):28-43,
Feb. 2002
This is a gentle overview of our work. It contains pointers to
the literature, but is not an exhaustive survey of the vast literature.
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Optimization
Based Rate Control for Multirate Multicast Sessions
Koushik Kar, Saswati Sarkar and Leandros Tassiulas
ISR Technical Report TR 2000-21, University of
Maryland, College Park, 2000
This paper proposes a congestion control method for multirate
multicast network based on a dual algorithm to solve the
utility maximizaiton problem.
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Optimization
Flow Control with Newton-Like Algorithm
S. Athuraliya and S. H. Low
Journal of Telecommunication Systems,
15(3/4):345-358, 2000
This paper derives congestion control algorithm as an approximate
Newton algorithm to solve the dual of the utility maximization
problem, to speed up convergence.
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MATE:
Multi-protocol Adaptive Traffic Engineering
A. Elwalid, C. Jin, S. H. Low and I. Widjaja
Computer Networks Journal,
Vol. 40 No. 6, 20 December 2002
This paper proposes a traffic engineering method for MPLS networks.
- More to come...
suggest updates
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