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Advance reservations for predictive service
Luleå tekniska universitet.
Luleå tekniska universitet.
Luleå tekniska universitet.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0002-4031-2872
1995 (Engelska)Ingår i: Network and Operating Systems Support for Digital Audio and Video: Proceedings of the 5th International Workshop on Network and Operating System Support for Digital Audio and Video / [ed] Thomas D C Little; Riccardo Gusella, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 1995, s. 1-15Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

We extend a measurement-based admission control algorithm suggested for predictive service to provide advance reservations for guaranteed and predictive service while keeping the attractive features of predictive service. The admission decision for advance reservations is based on information about flows that overlap in time. For flows that have not yet started, the requested values are used, and for those that have already started measurements are used. This allows us to estimate the network load accurately for the near future. To provide advance reservations we ask users to include durations in their requests. We provide simulation results to show that predictive service with advance reservations provides utilization levels significantly higher than those for guaranteed service.

Ort, förlag, år, upplaga, sidor
Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 1995. s. 1-15
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 1018
Nationell ämneskategori
Datavetenskap (datalogi) Medieteknik
Forskningsämne
Kommunikations- och beräkningssystem; Distribuerade datorsystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-35358DOI: 10.1007/BFb0019247Lokalt ID: 9ddf8990-f107-11dc-ba03-000ea68e967bISBN: 978-3-540-60647-5 (tryckt)OAI: oai:DiVA.org:ltu-35358DiVA, id: diva2:1008611
Konferens
International Workshop on Network and Operating System Support for Digital Audio and Video : 19/04/1995 - 21/04/1995
Anmärkning

Godkänd; 1995; 20080313 (ysko)

Tillgänglig från: 2016-09-30 Skapad: 2016-09-30 Senast uppdaterad: 2018-09-03Bibliografiskt granskad

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Schelén, Olov

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Pink, StephenSchelén, Olov
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Luleå tekniska universitetDatavetenskap
Datavetenskap (datalogi)Medieteknik

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