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Record W2115676708 · doi:10.1109/wpmc.2002.1088219

Comparison of Web traffic performance in W-CDMA mobile satellite systems

2003· article· en· W2115676708 on OpenAlexaff
J.H. Alswaidi, Safwat A. Mahmoud

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsCarleton University
Fundersnot available
KeywordsWeb trafficComputer scienceByteWeb pageDownloadStatic web pageComputer networkWeb navigationReal-time computingThe InternetOperating systemWorld Wide Web

Abstract

fetched live from OpenAlex

We analyze and compare the performance of Web traffic in two 3G W-CDMA mobile satellite systems, namely GEO and MEO systems assuming random frame error rate (FER). The effect of using two different data rates (i.e. 64 kbps and 144 kbps), two TCP initial window (2*512 and 4*512 bytes) and segment sizes (512 and 1460 bytes) on Web page download time are examined for the two systems. Simulation results presented here show that for 144 kbps data rate the Web traffic requires a FER/spl les/5*10/sup -3/ to avoid any significant increase in Web page download time. The results strongly suggest the use of a data rate /spl ges/144 kbps in order to avoid unacceptable increase in Web page download time in the two mobile satellite systems. The results also show that the MEO system (15000-km altitude) provides only slight reduction in Web page download time in comparison to that in the GEO system. Hence, this slight improvement in Web page download time alone might not merit the selection of MEO over GEO satellites taking into consideration the complexity and the risk associated with the AEO system. Similarly, using larger TCP segment size such as 1460 bytes provides a small but significant reduction in Web page downloads time in comparison to that of 512 bytes.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.319

Codex and Gemma teacher scores by category

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

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 head0.044
GPT teacher head0.329
Teacher spread0.285 · 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
Published2003
Admission routes1
Has abstractyes

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