Demo Data from EDBT 2026 / reviewers in the wild / expert
Marina Lipshteyn
dblp:09/5333
· DBLP profile ↗
18ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 13 · 1 first-authorComputer networks · 5 · 1 since 2021Databases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
2 papers |
Datacenter networks · 95% Routing and switching · 5% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 77% Cloud and datacenter computing · 23% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › networked storage › storage networking
RDMA storage |
0.7 | 1 | 2023 | Empowering Azure Storage with RDMA · NSDI 2023 |
Datacenter networks › lossless ethernet
priority flow control |
0.5 | 2 | 2016 | RDMA over Commodity Ethernet at Scale · SIGCOMM 2016 Congestion Control for Large-Scale RDMA Deployments · SIGCOMM 2015 |
Datacenter networks
RDMA |
0.2 | 1 | 2015 | Congestion Control for Large-Scale RDMA Deployments · SIGCOMM 2015 |
Datacenter networks › RDMA
RDMA congestion control |
0.2 | 1 | 2015 | Congestion Control for Large-Scale RDMA Deployments · SIGCOMM 2015 |
Cloud and datacenter computing
cloud storage |
0.2 | 1 | 2023 | Empowering Azure Storage with RDMA · NSDI 2023 |
Routing and switching › switching networks › multistage interconnection network
clos network |
0.1 | 1 | 2015 | Congestion Control for Large-Scale RDMA Deployments · SIGCOMM 2015 |
Graph algorithms and graph theory › graph classes
chordal graph |
0.0 | 1 | 2004 | Two tricks to triangulate chordal probe graphs in polynomial time · SODA 2004 |
Methods — techniques the papers use, named apart from their topics
monitoring · 0.2DSCP-based PFC · 0.2fluid model · 0.2end-to-end congestion control · 0.2polynomial-time algorithm · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Empowering Azure Storage with RDMA
Wei Bai 0001, Shanim Sainul Abdeen, Ankit Agrawal 0013, Krishan Kumar Attre, Paramvir Bahl, Ameya Bhagat, Gowri Bhaskara, Tanya Brokhman, Ahmad Cheema, Rebecca Chow, Jeff Cohen, Mahmoud Elhaddad, Vivek Ette, Igal Figlin, Daniel Firestone, Mathew George, Ilya German, Lakhmeet Ghai, Eric Green, Albert G. Greenberg, Randy Haagens, Matthew Hendel, Ridwan Howlader, Neetha John, Julia Johnstone, Tom Jolly, Greg Kramer, David Kruse, Erica Lan, Avi Levy, Marina Lipshteyn, Guohan Lu, Yuemin Lu, Xiakun Lu, Vadim Makhervaks, Ulad Malashanka, David A. Maltz, Ilias Marinos, Rohan Mehta, Sharda Murthi, Anup Namdhari, Aaron Ogus, Jitendra Padhye, Madhav Pandya, Douglas Phillips, Adrian Power, Suraj Puri, Shachar Raindel, Jordan Rhee, Anthony Russo, Maneesh Sah, Ali Sheriff, Chris Sparacino, Ashutosh Srivastava, Weixiang Sun, Nick Swanson, Fuhou Tian, Lukasz Tomczyk, Vamsi Vadlamuri, Alec Wolman, Joyce Yom, Yanzhao Zhang, Brian Zill |
NSDI | 35 |
| 2016 | RDMA over Commodity Ethernet at ScaleabstractOver the past one and half years, we have been using RDMA over commodity Ethernet (RoCEv2) to support some of Microsoft's highly-reliable, latency-sensitive services. This paper describes the challenges we encountered during the process and the solutions we devised to address them. In order to scale RoCEv2 beyond VLAN, we have designed a DSCP-based priority flow-control (PFC) mechanism to ensure large-scale deployment. We have addressed the safety challenges brought by PFC-induced deadlock (yes, it happened!), RDMA transport livelock, and the NIC PFC pause frame storm problem. We have also built the monitoring and management systems to make sure RDMA works as expected. Our experiences show that the safety and scalability issues of running RoCEv2 at scale can all be addressed, and RDMA can replace TCP for intra data center communications and achieve low latency, low CPU overhead, and high throughput. Chuanxiong Guo, Zhong Deng, Gaurav Soni, Jianxi Ye, Jitendra Padhye, Marina Lipshteyn |
SIGCOMM | 7 |
| 2015 | Congestion Control for Large-Scale RDMA DeploymentsabstractModern datacenter applications demand high throughput (40Gbps) and ultra-low latency (< 10 μs per hop) from the network, with low CPU overhead. Standard TCP/IP stacks cannot meet these requirements, but Remote Direct Memory Access (RDMA) can. On IP-routed datacenter networks, RDMA is deployed using RoCEv2 protocol, which relies on Priority-based Flow Control (PFC) to enable a drop-free network. However, PFC can lead to poor application performance due to problems like head-of-line blocking and unfairness. To alleviates these problems, we introduce DCQCN, an end-to-end congestion control scheme for RoCEv2. To optimize DCQCN performance, we build a fluid model, and provide guidelines for tuning switch buffer thresholds, and other protocol parameters. Using a 3-tier Clos network testbed, we show that DCQCN dramatically improves throughput and fairness of RoCEv2 RDMA traffic. DCQCN is implemented in Mellanox NICs, and is being deployed in Microsoft's datacenters. Yibo Zhu 0001, Haggai Eran, Daniel Firestone, Chuanxiong Guo, Marina Lipshteyn, Yehonatan Liron, Jitendra Padhye, Shachar Raindel, Mohamad Haj Yahia, Ming Zhang 0005 |
SIGCOMM | 5 |
| 2013 | Single bend paths on a grid have strong helly number 4: errata atque emendationes ad "edge intersection graphs of single bend paths on a grid"abstractAbstract In this note, we prove that a collection of single bend paths on a grid, the so‐called B1 representations, have strong Helly number 4. This corrects a false claim from Ref. [Golumbic et al., Networks, 54 (2009), 130–138; and other errata are also corrected. © 2013 Wiley Periodicals, Inc. NETWORKS, 2013 Martin Charles Golumbic, Marina Lipshteyn, Michal Stern |
Networks | 2 |
| 2011 | Foreword
Marina Lipshteyn, Ross M. McConnell, Haim Kaplan, Vadim E. Levit |
Discret. Appl. Math. | 1 |
| 2010 | On the bi-enhancement of chordal-bipartite probe graphs
Elad Cohen, Martin Charles Golumbic, Marina Lipshteyn, Michal Stern |
Inf. Process. Lett. | 3 |
| 2009 | Intersection models of weakly chordal graphs
Martin Charles Golumbic, Marina Lipshteyn, Michal Stern |
Discret. Appl. Math. | 2 |
| 2009 | Edge intersection graphs of single bend paths on a gridabstractAbstract We combine the known notion of the edge intersection graphs of paths in a tree with a VLSI grid layout model to introduce the edge intersection graphs of paths on a grid. Let 𝒫 be a collection of nontrivial simple paths on a grid 𝒢. We define the edge intersection graph E P G (𝒫) of 𝒫 to have vertices which correspond to the members of 𝒫, such that two vertices are adjacent in E P G (𝒫) if the corresponding paths in 𝒫 share an edge in 𝒢. An undirected graph G is called an edge intersection graph of paths on a grid (EPG) if G = E P G (𝒫) for some 𝒫 and 𝒢, and 〈𝒫,𝒢〉 is an EPG representation of G . We prove that every graph is an EPG graph. A turn of a path at a grid point is called a bend. We consider here EPG representations in which every path has at most a single bend, called B 1 ‐EPG representations and the corresponding graphs are called B 1 ‐EPG graphs. We prove that any tree is a B 1 ‐EPG graph. Moreover, we give a structural property that enables one to generate non B 1 ‐EPG graphs. Furthermore, we characterize the representation of cliques and chordless 4‐cycles in B 1 ‐EPG graphs. We also prove that single bend paths on a grid have Strong Helly number 3. © 2009 Wiley Periodicals, Inc. NETWORKS, 2009 Martin Charles Golumbic, Marina Lipshteyn, Michal Stern |
Networks | 2 |
| 2008 | On the Bi-enhancement of Chordal-bipartite Probe Graphs
Elad Cohen, Martin Charles Golumbic, Marina Lipshteyn, Michal Stern |
CTW | 3 |
| 2008 | What Is between Chordal and Weakly Chordal Graphs?
Elad Cohen, Martin Charles Golumbic, Marina Lipshteyn, Michal Stern |
WG | 3 |
| 2008 | The k-edge intersection graphs of paths in a tree
Martin Charles Golumbic, Marina Lipshteyn, Michal Stern |
Discret. Appl. Math. | 2 |
| 2008 | Equivalences and the complete hierarchy of intersection graphs of paths in a tree
Martin Charles Golumbic, Marina Lipshteyn, Michal Stern |
Discret. Appl. Math. | 2 |
| 2007 | Edge intersection graphs of single bend paths on a grid
Martin Charles Golumbic, Marina Lipshteyn, Michal Stern |
CTW | 2 |
| 2007 | Recognizing Chordal Probe Graphs and Cycle-Bicolorable GraphsabstractA graph $G=(V,E)$ is a chordal probe graph if its vertices can be partitioned into two sets, P (probes) and N (non-probes), where N is a stable set and such that G can be extended to a chordal graph by adding edges between non-probes. We give several characterizations of chordal probe graphs, first, in the case of a fixed given partition of the vertices into probes and non-probes, and second, in the more general case where no partition is given. In both of these cases, our results are obtained by introducing new classes, namely, N-triangulatable graphs and cycle-bicolorable graphs. We give polynomial time recognition algorithms for each class. N-triangulatable graphs have properties similar to chordal graphs, and we characterize them using graph separators and using a vertex elimination ordering. For cycle-bicolorable graphs, which are shown to be perfect, we prove that any cycle-bicoloring of a graph renders it N-triangulatable. The corresponding recognition complexity for chordal probe graphs, given a partition of the vertices into probes and non-probes, is $O(|P||E|)$, thus also providing an interesting tractable subcase of the chordal graph sandwich problem. If no partition is given in advance, the complexity of our recognition algorithm is $O(|E|^2)$. Anne Berry, Martin Charles Golumbic, Marina Lipshteyn |
SIAM J. Discret. Math. | 3 |
| 2006 | Finding Intersection Models of Weakly Chordal Graphs
Martin Charles Golumbic, Marina Lipshteyn, Michal Stern |
WG | 2 |
| 2004 | Two tricks to triangulate chordal probe graphs in polynomial time
Anne Berry, Martin Charles Golumbic, Marina Lipshteyn |
SODA | 3 |
| 2004 | Chordal probe graphs
Martin Charles Golumbic, Marina Lipshteyn |
Discret. Appl. Math. | 2 |
| 2003 | Chordal Probe Graphs
Martin Charles Golumbic, Marina Lipshteyn |
WG | 2 |