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Record W2103892396 · doi:10.1109/jva.2006.7

Arigatoni: A Simple Programmable Overlay Network

2006· preprint· en· W2103892396 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

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicDistributed and Parallel Computing Systems
Canadian institutionsPrevention of Organ Failure
Fundersnot available
KeywordsComputer scienceSimple (philosophy)Overlay networkDistributed computingTraverseGrid computingThe InternetDomain (mathematical analysis)Reciprocity (cultural anthropology)ComputationGridComputer networkWorld Wide Web

Abstract

fetched live from OpenAlex

We design a lightweight overlay network, called Arigatoni, that is suitable to deploy the global computing paradigm over the Internet. Communications over the behavioral units of the model are performed by a simple communication protocol. Basic global computers can communicate by first registering to a brokering service and then by mutually asking and offering services, in a way that is reminiscent to Rapoport's "tit-for-tat" strategy of cooperation based on reciprocity. In the model, resources are encapsulated in the administrative domain in which they reside, and requests for resources located in another administrative domain traverse a broker-2-broker negotiation using classical PKI mechanisms. The model is suitable to fit with various global scenarios from classical P2P applications, like file sharing, or band-sharing, to more sophisticated grid applications, like remote and distributed big (and small) computations, to possible, futuristic real migrating computations. Indeed, our model fits some of the objectives suggested by the CoreGrid network of excellence, as described in Schwiegelshohn et al. (Schwiegelshohn et al., 2005)

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 categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.003
Research integrity0.0000.001
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 head0.016
GPT teacher head0.244
Teacher spread0.228 · 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