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Record W2119383901 · doi:10.1109/icgrid.2006.310996

A GridFTP Overlay Network Service

2006· article· en· W2119383901 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicDistributed and Parallel Computing Systems
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComputer scienceComputer networkThroughputSoftware deploymentDistributed computingOverlay networkOverlayGridBandwidth (computing)Service (business)TCP hole punchingZeta-TCPTransmission Control ProtocolThe InternetWirelessOperating systemNetwork packet

Abstract

fetched live from OpenAlex

TCP is widely deployed and is used by the current implementation of GridFTP for data transfers within grid environments. Due to TCP dynamics, throughput of data transfers can be much lower than the available bandwidth in wide area networks. Splitting a TCP connection into two or more segments has been shown to improve throughput in this setting. This paper presents a set of components to enable easy deployment of overlay networks that make use of split-TCP connections to improve GridFTP transfer performance. The components include an extension to the Globus Toolkit v4 GridFTP server that supports split TCP connections, a service to estimate bulk transfer capacity and a service to determine if and where to split a connection. Results demonstrate significant performance improvement despite using very intermittent, passive throughput observations to determine the routing of the split connections

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.549

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.194
Teacher spread0.187 · 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