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Michael Leczinsky

dblp:218/6233 · 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
Routing and switching · 56% Network management and operations · 44%

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

TopicWeightPapersLastEvidence papers
Routing and switching
forwarding table
0.312018
VeriTable: Fast Equivalence Verification of Multiple Large Forwarding Tables · INFOCOM 2018
Network management and operations
network verification
0.312018
VeriTable: Fast Equivalence Verification of Multiple Large Forwarding Tables · INFOCOM 2018
Routing and switching › packet forwarding
IP forwarding
0.112018
VeriTable: Fast Equivalence Verification of Multiple Large Forwarding Tables · INFOCOM 2018

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

trie traversal · 0.3longest prefix matching · 0.3
YearPublicationVenuePosition
2018 VeriTable: Fast Equivalence Verification of Multiple Large Forwarding Tables
abstract
Due to network practices such as traffic engineering and multi-homing, the number of routes-also known as IP prefixes-in the global forwarding tables has been increasing significantly in the last decade and continues growing in a super linear trend. One of the most promising solutions is to use smart Forwarding Information Base (FIB) aggregation algorithms to aggregate the prefixes and convert a large table into a small one. Doing so poses a research question, however, i.e., how can we quickly verify that the original table yields the same forwarding behaviors as the aggregated one? We answer this question in this paper, including addressing the challenges caused by the longest prefix matching (LPM) lookups. In particular, we propose the VeriTable algorithm that can employ a single tree/trie traversal to quickly check if multiple forwarding tables are forwarding equivalent, as well as if they could result in routing loops or black holes. The VeriTable algorithm significantly outperforms the state-of-the-art work for both IPv4 and IPv6 tables in every aspect, including the total running time, memory access times and memory consumption.
Garegin Grigoryan, Yaoqing Liu, Michael Leczinsky, Jun Li 0001
INFOCOM3