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Kshitiz Saxena

dblp:80/10895 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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%

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

TopicWeightPapersLastEvidence papers
Routing and switching
IP lookup
0.012003
Reconfigurable finite-state machine based IP lookup engine for high-speed router · IEEE J. Sel. Areas Commun. 2003
Routing and switching › router architecture
high-speed router
0.012003
Reconfigurable finite-state machine based IP lookup engine for high-speed router · IEEE J. Sel. Areas Commun. 2003

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

reconfigurable hardware · 0.0finite state machine · 0.0
YearPublicationVenuePosition
2003 Reconfigurable finite-state machine based IP lookup engine for high-speed router
abstract
Internet protocol (IP) address lookup is one of the major performance bottlenecks in high-end routers. This paper presents an architecture for an IP address lookup engine based on programmable finite-state machines (FSMs). The IP address lookup problem can be translated into the implementation of a large FSM. Our hardware engine is then used to implement this FSM using a structured approach, in which the large FSM is broken down into a set of smaller FSMs which are then mapped into reconfigurable hardware blocks. The design of our hardware engine is based on a regular and well structured architecture, which is easy to scale. Our simulation results demonstrate that the FSM based architecture can easily scale to wire speed performance at OC-192 rates. Unlike previous approaches, the performance of our architecture is not constrained by memory bandwidth and is, therefore, in principle scalable with very large scale integration technology.
Madhav P. Desai, Abhay Karandikar, Kshitiz Saxena, Vinayak Samant
IEEE J. Sel. Areas Commun.4