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Ravi Ramaswamy

dblp:41/522 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

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

Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1Graphics, computer vision, multimedia, augmented reality and games · 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
1 paper
Performance modeling and evaluation · 91% Embedded and real-time systems · 9%
Computer networks
1 paper
Routing and switching · 50% Transport protocols and congestion control · 50%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation › queueing models › multiserver queue
m/m/m queue
0.011987
Analysis of the Resequencing Delay for M/M/m Systems · SIGMETRICS 1987
Performance modeling and evaluation
queueing models
0.011987
Analysis of the Resequencing Delay for M/M/m Systems · SIGMETRICS 1987
Performance modeling and evaluation › queueing models
resequencing delay
0.011987
Analysis of the Resequencing Delay for M/M/m Systems · SIGMETRICS 1987
Transport protocols and congestion control › transport protocols
message resequencing
0.011987
Analysis of the Resequencing Delay for M/M/m Systems · SIGMETRICS 1987
Routing and switching › packet switching
virtual circuit
0.011987
Analysis of the Resequencing Delay for M/M/m Systems · SIGMETRICS 1987
Embedded and real-time systems › real-time scheduling › schedulability analysis
response time analysis
0.011987
Analysis of the Resequencing Delay for M/M/m Systems · SIGMETRICS 1987

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

queueing analysis · 0.0probability distribution derivation · 0.0
YearPublicationVenuePosition
1990 Architecture of a highly reliable systolic correlator array
abstract
The architecture of a highly reliable systolic correlator array which forms part of a family of devices sharing a common cell architecture is outlined. The design of the cell is novel, and the reliability characteristics are scalable across the family to provide defect and fault tolerance. This is achieved by using an interconnection harness, which effectively straps or links only the healthy cells of the array into a working structure. The correlator array is designed to operate at a constant throughput rate, allowing a dynamic selection of the precision of correlation coefficients. A tradeoff between the precision of coefficients and latency of the array, as well as between the precision of coefficients and size of the correlation template, is possible. This makes the family of devices highly flexible and suited for a wide range of applications.>
Ravi Ramaswamy, Gavin Brebner, David Aspinall 0002
ICASSP1
1987 Analysis of the Resequencing Delay for M/M/m Systems
abstract
Many virtual circuit service communications networks such as SNA employ virtual circuit transmission method inside the subnet. An essential feature of such networks is that the sequence in which messages are transmitted is maintained throughout the route from source node to the destination node. When there are multiple links connecting two intermediate nodes in the route and the messages are of different lengths, then it is possible that the messages complete transmission at the next node out of sequence. These messages then have to be resquenced, i.e. put in the right order, in order to provide a virtual circuit service. The resequencing operation introduces an additional delay in transmission which may be significant. In this paper the probability distribution of the resequencing delay is obtained for the M/M/m system. Simple expressions for the mean and coefficient of variation of the resequencing delay are also provided. It is shown through a variety of numerical examples that the resequencing delay is likely to be a significant component of the overall response time. Some interesting aspects of dependence of the mean resequencing delay on system parameters are studied analytically.
Subhash C. Agrawal, Ravi Ramaswamy
SIGMETRICS2