Demo Data from VLDB 2026 / reviewers in the wild / expert
Parantap Lahiri
dblp:26/5033
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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
1 paper |
Routing and switching · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Routing and switching
traffic engineering |
0.1 | 1 | 2009 | VL2: a scalable and flexible data center network · SIGCOMM 2009 |
Routing and switching › load sharing
valiant load balancing |
0.1 | 1 | 2009 | VL2: a scalable and flexible data center network · SIGCOMM 2009 |
Cloud and datacenter computing
resource allocation |
0.0 | 1 | 2009 | VL2: a scalable and flexible data center network · SIGCOMM 2009 |
Methods — techniques the papers use, named apart from their topics
measurement · 0.2experiments · 0.2analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | VL2: a scalable and flexible data center networkabstractTo be agile and cost effective, data centers should allow dynamic resource allocation across large server pools. In particular, the data center network should enable any server to be assigned to any service. To meet these goals, we present VL2, a practical network architecture that scales to support huge data centers with uniform high capacity between servers, performance isolation between services, and Ethernet layer-2 semantics. VL2 uses (1) flat addressing to allow service instances to be placed anywhere in the network, (2) Valiant Load Balancing to spread traffic uniformly across network paths, and (3) end-system based address resolution to scale to large server pools, without introducing complexity to the network control plane. VL2's design is driven by detailed measurements of traffic and fault data from a large operational cloud service provider. VL2's implementation leverages proven network technologies, already available at low cost in high-speed hardware implementations, to build a scalable and reliable network architecture. As a result, VL2 networks can be deployed today, and we have built a working prototype. We evaluate the merits of the VL2 design using measurement, analysis, and experiments. Our VL2 prototype shuffles 2.7 TB of data among 75 servers in 395 seconds - sustaining a rate that is 94% of the maximum possible. Albert G. Greenberg, James R. Hamilton, Navendu Jain, Srikanth Kandula, Changhoon Kim, Parantap Lahiri, David A. Maltz, Parveen Patel, Sudipta Sengupta |
SIGCOMM | 6 |