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Record W4248371923 · doi:10.1002/9781119183587.ch14

Multicast Resiliency

2015· other· en· W4248371923 on OpenAlexaff
Glenn Warnock B.Sc., Mira Ghafary B.Sc., Ghassan Shaheen M.Sc.

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicInfrastructure Resilience and Vulnerability Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMulticastComputer networkComputer science

Abstract

fetched live from OpenAlex

This chapter describes the mechanisms used to improve resiliency and convergence in multicast networks. It explains PIM policies that can provide additional security in the network by controlling the registration of sources and rejecting unauthorized receivers. Multicast connection admission control (MCAC) is a feature that limits multicast Joins based on priority and bandwidth requirements. Configuration and verification of these features in SR OS is also covered. Anycast RP for PIM is an intra-domain mechanism that provides redundancy and load-sharing capabilities. Optimizing the resiliency of the access network is equally important and is discussed in the chapter. The chapter describes different mechanisms that can be used in the network to influence the flow of multicast traffic. MCAC is a feature that can be used to ensure the quality of existing multicast data streams by selectively rejecting the Joins for lower priority groups.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.004

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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2015
Admission routes1
Has abstractyes

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