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Record W2121807209 · doi:10.1109/tns.2011.2159847

Improving TCP Performance for EAST Experimental Data in the Wireless LANs

2011· article· en· W2121807209 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

VenueIEEE Transactions on Nuclear Science · 2011
Typearticle
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComputer scienceComputer networkTCP delayed acknowledgmentThroughputTCP accelerationNetwork packetTransmission Control ProtocolZeta-TCPChannel (broadcasting)TCP global synchronizationTCP Friendly Rate ControlWirelessTelecommunications

Abstract

fetched live from OpenAlex

TCP is the most commonly used transport control protocol. However, its throughput and fairness performance degrades in WLANs due to the unfairness in 802.11 MAC protocol. Since more and more scientists at the EAST facility in China are relying on such set up to download and analyze their experimental data, their research productivity is severely hampered. In this paper, we propose to use a dynamical mechanism, called the AP-DDA, at the Access Point to tackle these problems. Our mechanism can decrease the number of ACKs, which in turn reduce the interference between the TCP data packets and the ACK packets, and therefore improve the channel utilization. Furthermore, fairness is enhanced by a buffer management method in addition to our delayed ACKs mechanism. Both simulation and experimental results under various scenarios show that our mechanism can have better performance than conventional methods in wireless local area 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.

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: none
Teacher disagreement score0.981
Threshold uncertainty score0.706

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 studies0.0010.000
Scholarly communication0.0000.002
Open science0.0040.000
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 head0.075
GPT teacher head0.281
Teacher spread0.205 · 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