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Record W2035869147 · doi:10.1145/2536146.2536173

CSB-UCC

2013· article· en· W2035869147 on OpenAlexafffund
Richard K. Lomotey, Ralph Deters

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicIoT and Edge/Fog Computing
Canadian institutionsUniversity of Saskatchewan
FundersMitacs
KeywordsCloud computingComputer scienceScalabilitySoftware deploymentTransparency (behavior)Software as a serviceMobile deviceComputer securityWorld Wide WebDatabaseOperating systemSoftware

Abstract

fetched live from OpenAlex

The Ubiquitous Cloud Computing (UCC) refers to the usage of multiple devices (e.g., smartphones, tablets, etc.) to consume services (e.g., data and application) from multi-cloud sources. To facilitate the deployment of UCC systems, there is the need to build a brokerage platform that aggregates the multi-cloud services that are mostly siloed and divergent. In this work, we discuss our proposed Cloud Services Brokerage for Ubiquitous Cloud Computing (CSB-UCC). The aim of the CSB-UCC is to present a single dimensional view of the services to the consumer who wants to access services from multi-cloud sources. We achieve this by integrating the APIs from different cloud layers such as the IaaS, PaaS, and SaaS. Further, based on the user's security preferences and settings on the brokerage, updates that are published on the cloud sources are automatically pushed to the n-mobile devices of the user without the user explicitly issuing a request. The qualities of the framework are: 1) high scalability in terms of serving higher number of consumer devices, 2) agility to accommodate API-oriented IaaS, SaaS, and PaaS cloud layers, 3) services transparency, and 4) low-latency services synchronization which aims at ensuring application and data consistency across the user's devices.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.695
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.003

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 head0.184
Teacher spread0.177 · 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.

Study designNot applicable
Domainnot available
GenreMethods

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

Citations5
Published2013
Admission routes2
Has abstractyes

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