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Record W1966813352 · doi:10.1145/2096149.2096158

Improving TCP performance in residential broadband networks

2012· article· en· W1966813352 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

VenueACM SIGCOMM Computer Communication Review · 2012
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsUniversity of CalgaryUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceComputer networkAsymmetric digital subscriber lineBottleneckThe InternetQueueing theoryBroadbandAccess networkDigital subscriber lineTelecommunications

Abstract

fetched live from OpenAlex

ADSL and cable connections are the prevalent technologies available from Internet Service Providers (ISPs) for residential Internet access. Asymmetric access technologies such as these offer high download capacity, but moderate upload capacity. When the Transmission Control Protocol (TCP) is used on such access networks, performance degradation can occur. In particular, sharing a bottleneck link with different upstream and downstream capacities among competing TCP flows in opposite directions can degrade the throughput of the higher speed link. Despite many research efforts to solve this problem in the past, there is no solution that is both highly effective and easily deployable in residential networks. In this paper, we propose an Asymmetric Queueing (AQ) mechanism that enables full utilization of the bottleneck access link in residential networks with asymmetric capacities. The extensive simulation evaluation of our design shows its effectiveness and robustness in a variety of network conditions. Furthermore, our solution is easy to deploy and configure in residential 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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0040.002
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 head0.018
GPT teacher head0.251
Teacher spread0.233 · 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