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Record W2126955932 · doi:10.1109/iscc.2001.935391

End-to-end QoS guarantees over Diffserv networks

2002· article· en· W2126955932 on OpenAlex
G. Zhang, Hussein T. Mouftah

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsQueen's University
Fundersnot available
KeywordsComputer networkQuality of serviceIntegrated servicesScalabilityComputer scienceDifferentiated servicesReservationMobile QoSThe InternetStateful firewallOpenFlowDistributed computingService (business)Software-defined networkingService providerTraffic engineering

Abstract

fetched live from OpenAlex

The integrated services (Intserv) architecture provides the Internet the ability of delivering end-to-end QoS to applications over heterogeneous networks. Existing approaches for providing Intserv require routers to manage per flow states and perform per flow operations. Such a stateful network raises the scalability concerns when the network size or the number of flows is significantly large. The differentiated services (Diffserv) approach proposes a scalable means to deliver IP QoS based on aggregate traffic handling. We present end-to-end QoS guaranteed services over Diffserv network. This is implemented by introducing an sender-initiated resource reservation mechanism over Diffserv. This way we simultaneously achieve scalability and better control on the services. We present a detailed experimental study of the end-to-end QoS behaviour. Our results demonstrate that it is very desirable to implement the reservation mechanism over Diffserv to achieve more flexible and efficient end-to-end guaranteed QoS.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.999

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.204
Teacher spread0.192 · 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

Quick stats

Citations20
Published2002
Admission routes1
Has abstractyes

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