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Record W2105426660 · doi:10.1109/icccyb.2010.5491332

A reconfigurable architecture for IP Multimedia Subsystem session setup

2010· article· en· W2105426660 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComputer scienceSession Initiation ProtocolSession (web analytics)IP Multimedia SubsystemApplication-specific integrated circuitEmbedded systemServerComputer networkSystem on a chipProtocol (science)Computer architectureArchitectureMultimediaQuality of service

Abstract

fetched live from OpenAlex

The architecture of IP Multimedia Subsystem (IMS) enables converged voice, video, and data services and contains mechanisms related to session and connection control. Numerous protocols are used to perform IMS operations however the Session Initiation Protocol (SIP) plays a central role in the functionality of IMS. With increased demand for multimedia communications functionality, a software implementation of IMS limits performance and increases power consumption when controlling applications through devices like gateways, proxies and application servers. Therefore a strong desire exists to implement SIP using low power consumption hardware platforms very fast time responses. The large integration scale of the present chip technology allows for implementing all SIP mechanisms and interfaces in a single integrated chip or ASIC. In this paper, a reconfigurable hardware implementation of the session setup of IMS is described based on a hardware implementation of SIP.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.860

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 head0.007
GPT teacher head0.213
Teacher spread0.206 · 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