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- Steven H. Low, David E. Lapsley
- IEEE/ACM Trans. Netw.
- 1999

In this Comments, an error in Low and Lapsley's article [1] is pointed out. Because of this error, the proof of the Theorem 2 presented in the article is incomplete and some assessments are wrong. In the second part of this Comments, the author proposes a correction to this proof.

We describe a new active queue management scheme, Random Exponential Marking (REM), that aims to achieve both high utilization and negligible loss and delay in a simple and scalable manner. The key idea is to decouple congestion measure from performance measure such as loss, queue length, or delay. While congestion measure indicates excess demand for… (More)

The optimal power flow (OPF) problem is nonconvex and generally hard to solve. In this paper, we propose a semidefinite programming (SDP) optimization, which is the dual of an equivalent form of the OPF problem. A global optimum solution to the OPF problem can be retrieved from a solution of this convex dual problem whenever the duality gap is zero. A… (More)

- Steven H. Low
- IEEE/ACM Trans. Netw.
- 2003

We propose a duality model of end-to-end congestion control and apply it to understand the equilibrium properties of TCP and active queue management schemes. The basic idea is to regard source rates as primal variables and congestion measures as dual variables, and congestion control as a distributed primal-dual algorithm over the Internet to maximize… (More)

- Mung Chiang, Steven H. Low, A. Robert Calderbank, John Doyle
- Proceedings of the IEEE
- 2007

| Network protocols in layered architectures have historically been obtained on an ad hoc basis, and many of the recent cross-layer designs are also conducted through piecemeal approaches. Network protocol stacks may instead be holistically analyzed and systematically designed as distributed solutions to some global optimization problems. This paper… (More)

- Lijun Chen, Steven H. Low, Mung Chiang, John Doyle
- Proceedings IEEE INFOCOM 2006. 25TH IEEE…
- 2006

This paper considers jointly optimal design of crosslayer congestion control, routing and scheduling for ad hoc wireless networks. We first formulate the rate constraint and scheduling constraint using multicommodity flow variables, and formulate resource allocation in networks with fixed wireless channels (or single-rate wireless devices that can mask… (More)

- Zhenhua Liu, Minghong Lin, Adam Wierman, Steven H. Low, Lachlan L. H. Andrew
- IEEE/ACM Transactions on Networking
- 2011

Energy expenditure has become a significant fraction of data center operating costs. Recently, "geographical load balancing" has been suggested to reduce energy cost by exploiting the electricity price differences across regions. However, this reduction of cost can paradoxically increase total energy use.
This paper explores whether the geographical… (More)

This article reviews the current transmission control protocol (TCP) congestion control protocols and overviews recent advances that have brought analytical tools to this problem. We describe an optimization-based framework that provides an interpretation of various flow control mechanisms, in particular, the utility being optimized by the protocol’s… (More)

- STEVEN H. LOW, LIMIN WANG
- 2002

We view congestion control as a distributed primal-dual algorithm carried out by sources and links over a network to solve a global optimization problem. We describe a multi-link multi-source model of the TCP Vegas congestion control mechanism. The model provides a fundamental understanding of delay, fairness and loss properties of TCP Vegas. It implies… (More)

- Anwar Elwalid, Cheng Jin, Steven H. Low, Indra Widjaja
- INFOCOM
- 2001

Destination-based forwarding in traditional IP routers has not been able to take full advantage of multiple paths that frequently exist in Internet Service Provider Networks. As a result, the networks may not operate efficiently, especially when the traffic patterns are dynamic. This paper describes a multipath adaptive traffic engineering mechanism, called… (More)