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Sylvain Delas

dblp:05/4595 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none

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

Computer networks · 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 networks
1 paper
Network performance modeling · 83% Internet architecture and protocols · 17%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network performance modeling › packet loss
cell loss probability
0.011999
Cell Loss Asymptotics in Priority Queues Accessed by a Large Number of Independent Stationary Sources · INFOCOM 1999
Network performance modeling
queueing analysis
0.011999
Cell Loss Asymptotics in Priority Queues Accessed by a Large Number of Independent Stationary Sources · INFOCOM 1999
Internet architecture and protocols
ATM networks
0.011999
Cell Loss Asymptotics in Priority Queues Accessed by a Large Number of Independent Stationary Sources · INFOCOM 1999
Internet architecture and protocols
buffer management
0.011999
Cell Loss Asymptotics in Priority Queues Accessed by a Large Number of Independent Stationary Sources · INFOCOM 1999

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

simulation · 0.0large deviations · 0.0asymptotic analysis · 0.0
YearPublicationVenuePosition
1999 Cell Loss Asymptotics in Priority Queues Accessed by a Large Number of Independent Stationary Sources
abstract
In this paper we study the cell loss asymptotics for finite buffers accessed by a large number of stationary independent sources and which are served according to a strict HOL priority rule. We first consider the case of two buffers with one of them having strict priority over the other and we obtain asymptotically exact expressions for the cell loss probability for the queues. The asymptotics are studied in terms of a scaling parameter which reflects the server speed, buffer size and the number of sources in such a way that the ratios remain constant. Moreover, as in the single queue case the results are valid for long-range dependent sources with bounded instantaneous rates. The results are then generalised to the case of M buffers where it is shown that resource pooling takes place by which all higher order priority queues can be lumped together when calculating the asymptotics of the lowest priority queue. We conclude with some numerical validation of our formulae against simulations which confirm the theory.
Sylvain Delas, Ravi Mazumdar, Catherine Rosenberg
INFOCOM1