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Record W1708931749 · doi:10.1109/inw.1996.539695

Removing Type A restrictions [intelligent networks]

2002· article· en· W1708931749 on OpenAlexaff
Larry Strickland, John Visser

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMobile Agent-Based Network Management
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsScope (computer science)Computer scienceRelevance (law)Set (abstract data type)Constraint (computer-aided design)SuiteTelecommunications serviceFistServices computingTelecommunicationsType of servicePhase (matter)Operations researchWorld Wide WebEngineeringWeb serviceBusinessService (business)

Abstract

fetched live from OpenAlex

With the fist phase of IN now being deployed around the world, it is time to look toward the next phase. The first phase was developed with "Type A" services in mind to bound the scope of the work while retaining commercial viability. All other services were arbitrarily grouped as "Type B". The IN "Type A" services are defined by the ITU-T in Recommendation 4.1211 which includes a number of limitations selected to avoid implementation, operational and control complexity, while still enabling a commercially viable suite of capabilities. The ITU-T Study Group 11 has specified Capability Set 1 (CS-1) and CS-1R (CS-1 "Refined"). Capability Set 2 is being worked on, with solidification of the specifications, but the same restrictions remain in place. The "Type A" restrictions exclude the application of IN technology to the delivery of multimedia and multi-party services. These services must be addressed with the increasing relevance and importance of broadband and multi-party services. The implications of each of the "Type A" restrictions is examined in turn, showing options by which the restrictions can be removed, and the network evolved towards a full range of services network of the future. In removing the single medium constraint, it is necessary to address the relationship of "call" processing to "connection" processing. These concepts are defined and their relationship explored. The paper concludes with some suggestions on the priorities for evolving IN technology and its application to an increasing scope of successful services.

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 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: Methods · Consensus signal: none
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.035
GPT teacher head0.227
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

Classification

machine, unvalidated

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

Study designSimulation or modeling
Domainnot available
GenreMethods

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
Published2002
Admission routes1
Has abstractyes

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