ServerModels for Probabilistic Network Calculus

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

Externe Organisationen

  • Norwegian University of Science and Technology (NTNU)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksINFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI)
Seiten400-404
Seitenumfang5
PublikationsstatusVeröffentlicht - 2005
Extern publiziertJa
Veranstaltung35th Jahrestagung der Gesellschaft fur Informatik e.V. (GI): Informatik LIVE!, INFORMATIK 200535th Annual Conference of the German Informatics Society (GI): Informatics LIVE!,INFORMATIK 2005 - Bonn, Deutschland
Dauer: 19 Sept. 200522 Sept. 2005

Publikationsreihe

NameINFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI)
Band1

Abstract

Network calculus is a deterministic queuing theory that has gained increasing attention in recent time. Founded on min-plus algebra it resorts to intuitive convolution formulae for efficient concatenation of servers and derivation of related performance bounds. Yet, the pessimistic worst-case analysis of deterministic network calculus gave rise to probabilistic counterparts that aim at utilizing the smoothing effects of statistical multiplexing by allowing for certain violation probabilities. Related theories are, however, significantly more complicated and still subject to research. To advance theory this paper evolves server models for probabilistic network calculus that are based on moment generating functions to efficiently utilize statistical multiplexing and the independence of flows.

ASJC Scopus Sachgebiete

Zitieren

ServerModels for Probabilistic Network Calculus. / Fidler, Markus.
INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI). 2005. S. 400-404 (INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI); Band 1).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Fidler, M 2005, ServerModels for Probabilistic Network Calculus. in INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI). INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI), Bd. 1, S. 400-404, 35th Jahrestagung der Gesellschaft fur Informatik e.V. (GI): Informatik LIVE!, INFORMATIK 200535th Annual Conference of the German Informatics Society (GI): Informatics LIVE!,INFORMATIK 2005, Bonn, Deutschland, 19 Sept. 2005. <https://dl.gi.de/bitstream/handle/20.500.12116/28069/GI-Proceedings.67-90.pdf?sequence=1&isAllowed=y>
Fidler, M. (2005). ServerModels for Probabilistic Network Calculus. In INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI) (S. 400-404). (INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI); Band 1). https://dl.gi.de/bitstream/handle/20.500.12116/28069/GI-Proceedings.67-90.pdf?sequence=1&isAllowed=y
Fidler M. ServerModels for Probabilistic Network Calculus. in INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI). 2005. S. 400-404. (INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI)).
Fidler, Markus. / ServerModels for Probabilistic Network Calculus. INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI). 2005. S. 400-404 (INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI)).
Download
@inproceedings{7e08605231254f1fa11801e9c9e9a9f4,
title = "ServerModels for Probabilistic Network Calculus",
abstract = "Network calculus is a deterministic queuing theory that has gained increasing attention in recent time. Founded on min-plus algebra it resorts to intuitive convolution formulae for efficient concatenation of servers and derivation of related performance bounds. Yet, the pessimistic worst-case analysis of deterministic network calculus gave rise to probabilistic counterparts that aim at utilizing the smoothing effects of statistical multiplexing by allowing for certain violation probabilities. Related theories are, however, significantly more complicated and still subject to research. To advance theory this paper evolves server models for probabilistic network calculus that are based on moment generating functions to efficiently utilize statistical multiplexing and the independence of flows.",
author = "Markus Fidler",
year = "2005",
language = "English",
isbn = "3885793962",
series = "INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI)",
pages = "400--404",
booktitle = "INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI)",
note = "35th Jahrestagung der Gesellschaft fur Informatik e.V. (GI): Informatik LIVE!, INFORMATIK 200535th Annual Conference of the German Informatics Society (GI): Informatics LIVE!,INFORMATIK 2005 ; Conference date: 19-09-2005 Through 22-09-2005",

}

Download

TY - GEN

T1 - ServerModels for Probabilistic Network Calculus

AU - Fidler, Markus

PY - 2005

Y1 - 2005

N2 - Network calculus is a deterministic queuing theory that has gained increasing attention in recent time. Founded on min-plus algebra it resorts to intuitive convolution formulae for efficient concatenation of servers and derivation of related performance bounds. Yet, the pessimistic worst-case analysis of deterministic network calculus gave rise to probabilistic counterparts that aim at utilizing the smoothing effects of statistical multiplexing by allowing for certain violation probabilities. Related theories are, however, significantly more complicated and still subject to research. To advance theory this paper evolves server models for probabilistic network calculus that are based on moment generating functions to efficiently utilize statistical multiplexing and the independence of flows.

AB - Network calculus is a deterministic queuing theory that has gained increasing attention in recent time. Founded on min-plus algebra it resorts to intuitive convolution formulae for efficient concatenation of servers and derivation of related performance bounds. Yet, the pessimistic worst-case analysis of deterministic network calculus gave rise to probabilistic counterparts that aim at utilizing the smoothing effects of statistical multiplexing by allowing for certain violation probabilities. Related theories are, however, significantly more complicated and still subject to research. To advance theory this paper evolves server models for probabilistic network calculus that are based on moment generating functions to efficiently utilize statistical multiplexing and the independence of flows.

UR - http://www.scopus.com/inward/record.url?scp=84874227580&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84874227580

SN - 3885793962

SN - 9783885793960

T3 - INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI)

SP - 400

EP - 404

BT - INFORMATIK 2005 - Informatik LIVE!, Beitrage der 35. Jahrestagung der Gesellschaft fur Informatik e.V. (GI)

T2 - 35th Jahrestagung der Gesellschaft fur Informatik e.V. (GI): Informatik LIVE!, INFORMATIK 200535th Annual Conference of the German Informatics Society (GI): Informatics LIVE!,INFORMATIK 2005

Y2 - 19 September 2005 through 22 September 2005

ER -

Von denselben Autoren