MétaCan
Menu
Back to cohort
Record W81871235

Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks

2006· article· en· W81871235 on OpenAlexaff
J.W. Mark

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsWirelineScope (computer science)Quality of serviceTelecommunicationsComputer scienceService (business)InteroperabilityGovernment (linguistics)Engineering managementWirelessEngineeringBusinessWorld Wide WebMarketing
DOInot available

Abstract

fetched live from OpenAlex

QShine 2006 is the third annual conference on Quality of Service (QoS) in Heterogeneous Wireless/Wireline Networks. The conference addresses interdisciplinary issues in wireless/wireline networks, with quality of service as the main theme. Drawing on the synergy of all members of the organizing committees, QShine 2006 is poised to bring together innovative researchers, developers and practitioners from academia, industry and government laboratories to disseminate their significant findings and to expound their ideas and visions toward pushing the frontier of the research area through cross fertilization. We are fortunate to have two eminent research leaders, Dr. Nicholas F. Maxemchuk and Dr. Mischa Schwwartz, to deliver keynote speeches to set the tone of the conference.Since 2004, QShine has been a very successful series of conferences providing an International forum for the presentation and discussion of new research and ideas on Quality of Service (QoS) in heterogeneous wireless and wireline networks. Quality of Service research has expanded its scope, and continues to be an active research field in the networking community. It has been the tradition of past QShine conferences to represent inter-disciplinary and focused research, with an emphasis on innovation. Building on the successes of previous conferences in 2004 and 2005, QShine 2006 continues to bring together researchers, developers, and practitioners working in this area to discuss recent and innovative results, and to identify future directions and challenges in developing practical systems where predictable and controlled performance is a central requirement in heterogeneous and hybrid wireless networks.The Technical Program of QShine 2006 is, arguably, stronger than ever in the history of QShine. In addition to traditional QoS topics such as fairness, scheduling and admission control, the scope of this year's QShine has successfully included high-quality work in some new and emerging research directions, including wireless and sensor networks, overlay and peer-to-peer networks, and ultra-wideband wireless networks. As a result, new sessions have been included, such as Algorithms in Sensor Networks, Pricing, Incentives and Overlays, as well as Multimedia. The other sessions have covered the complete spectrum of Quality of Service research in wireless and wireline networks. We are also fortunate to have our keynote speakers, Professor Nicholas F. Maxemchuk and Professor Mischa Schwartz, to enlighten us on their own perspectives on the future of Quality of Service and networking research.Much effort by the Technical Program Committee has gone into putting together a high -quality technical program. The quality and quantity of submissions were both strong. The program committee has had a difficult task to select 49 papers among many high-quality deserving paper submissions. Similar to QShine of the previous years, the reviewing process has been completed within a very short period of time, in order to include the latest results in the area of Quality of Service in wireless networks.

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 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 score0.949
Threshold uncertainty score0.257

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 science0.0010.000
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 head0.247
Teacher spread0.225 · 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

Citations10
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicNetwork Traffic and Congestion ControlFrench-language works237,207