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Aniket Shirke

dblp:205/3108 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—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
Software-defined and programmable networks · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software-defined and programmable networks › programmable data plane
p4
0.312018
pcube: Primitives for Network Data Plane Programming · ICNP 2018
Software-defined and programmable networks
programmable data plane
0.312018
pcube: Primitives for Network Data Plane Programming · ICNP 2018

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

domain-specific language · 0.3
YearPublicationVenuePosition
2018 pcube: Primitives for Network Data Plane Programming
abstract
P4 is a domain specific language to configure packet processing pipelines in programmable dataplane switches, and is a powerful idea towards realizing the goal of flexible software-defined networks. This paper presents pcube, a framework that provides a set of primitives to simplify the development of P4-based dataplane applications. pcube provides primitives for loops, summations, and other common operations on indexed state variables, which can be embedded within P4 code and unrolled by the pcube preprocessor. pcube also provides primitives to synchronize state variables across switches in distributed dataplane applications, which are automatically translated into P4 code to send and receive synchronization messages across multiple switches by pcube. We build example dataplane applications such as a distributed load balancer in our framework, and show that using pcube reduces the programming effort (in term of lines of code) significantly-by a factor of up to 5.4x.
Rinku Shah, Aniket Shirke, Akash Trehan, Mythili Vutukuru, Purushottam Kulkarni
ICNP2