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Pavani Kuppili

dblp:397/3390 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0000-9591-1349ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author · 1 since 2021

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
Internet architecture and protocols · 50% Software-defined and programmable networks · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet architecture and protocols
network topology
0.812024
Poster: Topocloud: Getting Datacenter Network Experiments Into the Right Shape · ICNP 2024
Software-defined and programmable networks
programmable data plane
0.812024
Poster: Topocloud: Getting Datacenter Network Experiments Into the Right Shape · ICNP 2024
Distributed systems
testbed experimentation
0.212024
Poster: Topocloud: Getting Datacenter Network Experiments Into the Right Shape · ICNP 2024

Methods — techniques the papers use, named apart from their topics

virtual wires · 1.5p4 · 1.5
YearPublicationVenuePosition
2024 Poster: Topocloud: Getting Datacenter Network Experiments Into the Right Shape
abstract
The physical topology of a datacenter network is fundamental as it determines latency, bisection bandwidth, the location and properties of congestion, and the network's ability to tolerate failures. Yet, topology is one of the most difficult factors to control during experimentation: when using a production datacenter or a testbed, the only topology available is the one already deployed. If running on an experimenter's own equipment, rewiring may be possible but is cumbersome and of limited scale. This presents a challenge for controlled experimentation, because such experiments should ideally be run on a range of realistic topologies. To tackle this, we present our work on Topocloud, a system that enables experimenters to construct and modify network topologies in a shared public testbed. Topocloud uses hardware P4 switches to fulfill a dual role: each port can act as either a typical Ethernet MAC-learning switch or as a “virtual wire” that connects ports transparently. We demonstrate that virtual wires in Topocloud can be used to construct low latency network topologies incorporating L2 switches.
Pavani Kuppili, Aleksander Maricq, Brent E. Stephens, Ryan Stutsman, Robert Ricci
ICNP1