On the Way to a Distributed Systems Calculus: An End-to-End Network Calculus with Data Scaling

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

Autoren

Externe Organisationen

  • Norwegian University of Science and Technology (NTNU)
  • Technische Universität Kaiserslautern
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Details

OriginalspracheEnglisch
Titel des SammelwerksSIGMETRICS 2006/Performance 2006
Untertitel Joint International Conference on Measurement and Modeling of Computer Systems, Proceedings
Seiten287-298
Seitenumfang12
Auflage1
PublikationsstatusVeröffentlicht - Juni 2006
Extern publiziertJa
VeranstaltungSIGMETRICS 2006/Performance 2006 - Joint International Conference on Measurement and Modeling of Computer Systems - Saint Malo, Frankreich
Dauer: 26 Juni 200630 Juni 2006

Publikationsreihe

NamePerformance Evaluation Review
Nummer1
Band34
ISSN (Print)0163-5999
ISSN (elektronisch)0163-5999

Abstract

Network calculus is a min-plus system theory which facilitates the efficient derivation of performance bounds for networks of queues. It has successfully been applied to provide end-to-end quality of service guarantees for integrated and differentiated services networks. Yet, a true end-to-end analysis including the various components of end systems as well as taking into account mid-boxes like firewalls, proxies, or media gateways has not been accomplished so far. The particular challenge posed by such systems are transformation processes, like data processing, compression, encoding, and decoding, which may alter data arrivals drastically. The heterogeneity, which is reflected in the granularity of operation, for example multimedia applications process video frames which, however, are represented by packets in the network, complicates the analysis further. To this end this paper evolves a concise network calculus with scaling functions, which allow modelling a wide variety of transformation processes, Combined with the concept of packetizer this theory enables a true end-to-end analysis of distributed systems.

ASJC Scopus Sachgebiete

Zitieren

On the Way to a Distributed Systems Calculus: An End-to-End Network Calculus with Data Scaling. / Fidler, Markus; Schmitt, Jens B.
SIGMETRICS 2006/Performance 2006 : Joint International Conference on Measurement and Modeling of Computer Systems, Proceedings. 1. Aufl. 2006. S. 287-298 (Performance Evaluation Review; Band 34, Nr. 1).

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

Fidler, M & Schmitt, JB 2006, On the Way to a Distributed Systems Calculus: An End-to-End Network Calculus with Data Scaling. in SIGMETRICS 2006/Performance 2006 : Joint International Conference on Measurement and Modeling of Computer Systems, Proceedings. 1 Aufl., Performance Evaluation Review, Nr. 1, Bd. 34, S. 287-298, SIGMETRICS 2006/Performance 2006 - Joint International Conference on Measurement and Modeling of Computer Systems, Saint Malo, Frankreich, 26 Juni 2006. https://doi.org/10.1145/1140103.1140310
Fidler, M., & Schmitt, J. B. (2006). On the Way to a Distributed Systems Calculus: An End-to-End Network Calculus with Data Scaling. In SIGMETRICS 2006/Performance 2006 : Joint International Conference on Measurement and Modeling of Computer Systems, Proceedings (1 Aufl., S. 287-298). (Performance Evaluation Review; Band 34, Nr. 1). https://doi.org/10.1145/1140103.1140310
Fidler M, Schmitt JB. On the Way to a Distributed Systems Calculus: An End-to-End Network Calculus with Data Scaling. in SIGMETRICS 2006/Performance 2006 : Joint International Conference on Measurement and Modeling of Computer Systems, Proceedings. 1 Aufl. 2006. S. 287-298. (Performance Evaluation Review; 1). doi: 10.1145/1140103.1140310
Fidler, Markus ; Schmitt, Jens B. / On the Way to a Distributed Systems Calculus : An End-to-End Network Calculus with Data Scaling. SIGMETRICS 2006/Performance 2006 : Joint International Conference on Measurement and Modeling of Computer Systems, Proceedings. 1. Aufl. 2006. S. 287-298 (Performance Evaluation Review; 1).
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