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Record W2547343645 · doi:10.1109/its.2006.4433284

Web services for the new internet: discussion and evaluation of the provisioning of interdomain services

2006· article· en· W2547343645 on OpenAlexfundno aff
Fábio L. Verdi, Rafael Pasquini, Maurício Ferreira Magalhães, Edmundo R. M. Madeira

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCanarie
KeywordsComputer scienceInternetworkingThe InternetWorld Wide WebWeb serviceVoice over IPService-oriented architectureProvisioningArchitectureContext (archaeology)Services computingService (business)Domain Name SystemComputer securityComputer networkBusiness

Abstract

fetched live from OpenAlex

In these last few years, the Internet as it is today has put some limitations on the evolution of new services. Problems such as address space scarcity, mobility, sensor networks and VoIP are becoming common requirements now and will be more frequent in future. However, the current Internet architecture does not support this evolution. In 2003, Jon Crowcroft [1] discussed the problems of the Internet Architecture. In January 2005, a report from NSF [2] addressed the barriers that need to be faced in order to overcome limitations towards a new internetworking architecture. In this paper, we discuss how Web services can be useful in solving some interdomain problems. The strong interaction between ISPs already exists and will be more necessary as new services appear. We believe that the Web services solution is a facilitator in this path. Our discussion is supported by the CANARIE [3] research point of view that everything is a service. We use this idea in the context of interdomain interactions where each domain is then seen as a service. We developed an architecture to support these interactions and evaluated the prototype in terms of time and bandwidth consumption to provide interdomain 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.985
Threshold uncertainty score0.102

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.008
GPT teacher head0.239
Teacher spread0.231 · 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.

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

Citations1
Published2006
Admission routes1
Has abstractyes

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