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Record W2163977791 · doi:10.1109/ccece.2005.1557297

Quality of service for digital video broadc

2006· article· en· W2163977791 on OpenAlexaff
S. Voora, Ken Ferens, Attahiru Sule Alfa

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAdvanced Queuing Theory Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsComputer scienceComputer networkQuality of serviceNetwork packetBroadcasting (networking)TelecommunicationsMobile QoSDigital Video BroadcastingService providerBandwidth (computing)Service (business)The InternetBusinessWorld Wide Web

Abstract

fetched live from OpenAlex

High-powered direct broadcast satellites can be used to transmit large volumes of data directly to extensive users or user groups. This technology is based on a technique of carrying IP packets over an DVB/MPEG-2 (digital video broadcasting) stream. Transmission of IP packets over an DVB/MPEG-2 stream is not new technology; however, providing a guaranteed QoS (end-to-end) in such networks is a novel approach, which has not been widely researched. There exists a need to provide a multi-tier QoS architecture for such networks. For example, a satellite data broadcasting company has a large satellite earth station capable of communicating data over satellite up to the full transponder rate, typically greater than 100 Mbps. A teleport such as this prefers to sell portions of its bandwidth to other data broadcasting companies, such as government data hubs, banking institutions and Internet service providers (ISPs). These middle companies in turn sell bandwidth to end users. The problem is the teleport needs to offer different levels of QoS to the middle companies, who in turn need to provide different levels of QoS to end users. This problem is compounded by the need to sell differentiated services to competing companies. Furthermore, end users typically would pay for constant, variable, or unspecified bit rate services. In this paper we present a design of a multi-tier QoS architecture to suit the needs of providing multi-tier levels of differentiated services. We analyze this design using a queuing model which shows promising results

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.265
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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