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K. Arvind

dblp:47/437 · DBLP profile ↗
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6ranked-venue papers
5as first author
0since 2021 · last 1995
—ORCID · none

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

Systems, architecture and hardware · 3 · 3 first-authorArtificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1 · 1 first-authorTheory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 architecture, parallel and distributed computing, and storage systems
2 papers
Distributed systems · 100%
Theoretical computer science
1 paper
Distributed computing theory · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
clock synchronization
0.021994
Probabilistic Clock Synchronization in Distributed Systems · IEEE Trans. Parallel Distributed Syst. 1994
A New Brobabilistic AIgorithm for Clock Synchronization · RTSS 1989
Distributed systems › clock synchronization
probabilistic clock synchronization
0.021994
Probabilistic Clock Synchronization in Distributed Systems · IEEE Trans. Parallel Distributed Syst. 1994
A New Brobabilistic AIgorithm for Clock Synchronization · RTSS 1989
Distributed systems › clock synchronization
clock skew bound
0.011994
Probabilistic Clock Synchronization in Distributed Systems · IEEE Trans. Parallel Distributed Syst. 1994
Distributed systems
fault tolerance
0.011989
A New Brobabilistic AIgorithm for Clock Synchronization · RTSS 1989
Distributed computing theory
distributed algorithms
0.011994
Probabilistic Clock Synchronization in Distributed Systems · IEEE Trans. Parallel Distributed Syst. 1994

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

probabilistic analysis · 0.0closed-form derivation · 0.0
YearPublicationVenuePosition
1995 Efficient Parallel Algorithms for Permutation Graphs
K. Arvind, V. Kamakoti 0001, C. Pandu Rangan
J. Parallel Distributed Comput.1
1994 Probabilistic Clock Synchronization in Distributed Systems
abstract
Presents and analyzes a new probabilistic clock synchronization algorithm that can guarantee a much smaller bound on the clock skew than most existing algorithms. The algorithm is probabilistic in the sense that the bound on the clock skew that it guarantees has a probability of invalidity associated with it. However, the probability of invalidity may be made extremely small by transmitting a sufficient number of synchronization messages. It is shown that an upper bound on the probability of invalidity decreases exponentially with the number of synchronization messages transmitted. A closed-form expression that relates the probability of invalidity to the clock skew and the number of synchronization messages is also derived.>
K. Arvind
IEEE Trans. Parallel Distributed Syst.1
1992 Connected Domination and Steiner Set on Weighted Permutation Graphs
K. Arvind, C. Pandu Regan
Inf. Process. Lett.1
1991 A Local Area Network Architecture for Communication in Distributed Real-Time Systems
K. Arvind, Krithi Ramamritham, John A. Stankovic
Real Time Syst.1
1989 A New Brobabilistic AIgorithm for Clock Synchronization
abstract
Presented is an averaging probabilistic clock-synchronization algorithm that is based on the redundant transmission of multiple synchronization messages. The algorithm can guarantee a much lower upper bound on the deviation between clocks than can most existing algorithms. The algorithm is probabilistic in the sense that the upper bound on the deviation that it guarantees has an associated probability of invalidity. The probability of invalidity, i.e. the probability that the deviation exceeds the guaranteed maximum deviation, may be made extremely small by sufficiently increasing the number of messages transmitted. It is proved that an upper bound on the probability of invalidity decreases exponentially with the number of messages, i.e. the probability of invalidity itself decreases exponentially or better.>
K. Arvind
RTSS1
1984 Extraction of lines and regions from grey tone line drawing images
Layne T. Watson, K. Arvind, Roger W. Ehrich, Robert M. Haralick
Pattern Recognit.2