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Record W2098372141 · doi:10.3233/hsn-2001-203

Hierarchical photonic LANs using spectral folding

2001· article· en· W2098372141 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

VenueJournal of High Speed Networks · 2001
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsComputer scienceTransmitterLocal area networkBandwidth (computing)Computer networkThroughputWavelength-division multiplexingElectronic engineeringChannel (broadcasting)TelecommunicationsWavelengthWirelessPhysicsOptics

Abstract

fetched live from OpenAlex

Local area networks based on passive optical star couplers were originally proposed to exploit the enormous bandwidth of optical fiber [1]. Unfortunately, the maximum throughput of these systems is restricted by the limited number of channels which can be achieved in practice. To address this problem, two‐level hierarchical WDM LANs have been proposed [2–4]. These architectures can increase system capacity by permitting a set of local channels (i.e., the local waveband) to be spatially reused across a number of local optical networks (LONs). Full connectivity is maintained by a globally shared remote waveband. In systems of this kind the channels are typically accessed using a single wavelength‐agile transmitter at each station [4]. Since fast receiver tuning is currently more difficult to achieve, practical designs are based on dynamic transmitter tuning only [2–4]. Receiver tuning is performed only rarely or during system initialization. An unfortunate complication with hierarchical networks is that stations must maintain a presence in both wavebands. In fixed‐tuned receiver designs this means that each station must have one receiver for each waveband. As a result, the amount of station receiver hardware is at least twice that required for single passive star networks just to maintain full connectivity. In this paper, a simple technique is proposed for eliminating this requirement. In the remote section of the network, fixed wavelength conversion is used to fold certain remote wavelengths onto the local ones. This results in an interesting design where the local/remote allocation of bandwidth is dynamically controlled temporally by the stations from the edge of the network. Full connectivity can be maintained with only half the total number of station receivers and the capacity can scale linearly with the number of LONs, as in conventional hierarchies. The price to pay for this simplification however, is that capacity is lost through the wavelength folding process. New media access protocols are required to prevent conflicts in this case. The capacity and delay performance of the system is investigated for four proposed media access control protocols.

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: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.759

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 science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.240
Teacher spread0.226 · 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