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Considerations in Designing DCI (Data Centre Interconnect) in Full Mesh VPLS/ Multicast Enable WAN over OTV Tunne

2017· article· en· W2808347109 on OpenAlex

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

VenueInternational Journal of Computer and Communication Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsGeorgian College
Fundersnot available
KeywordsMulticastComputer scienceComputer networkInterconnection

Abstract

fetched live from OpenAlex

VPLS/ MPLS is one of the most popular Wide Area Network (WAN) technologies used today by service providers. VPLS depends on pseudowires (PW) within Multiprotocol Label Switching (MPLS) network to emulate Ethernet connectivity in a full mesh topology, to multiple remote sites, sharing an Ethernet broadcast domain. As IP multicast services continue to be offered, many customers find it desirable to extend their multicast applications to remote sites, where traditional technologies fail to support such connectivity. A layer-2 VPN service using VPLS supports the extension of multicast services to remote sites. In this paper, the impact of a full mesh VPLS with the interoperability of Cisco Overlay Transport Virtualization (OTV) and multicast traffic has been analyzed. The paper concludes that an inadequately designed full mesh VPLS based WAN can have a significant negative impact on overall WAN performance in terms of reachability and packet loss for data, voice, and multicast traffic on the same customer edge (CE) device. The paper further proposes a design solution to avoid drastic impacts on the overall WAN performance when a large amount of multicast traffic is to be transported.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.373
Threshold uncertainty score0.520

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 science0.0010.000
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 head0.022
GPT teacher head0.265
Teacher spread0.243 · 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