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Record W2724423093 · doi:10.1109/seams.2017.12

Delivering Elastic Containerized Cloud Applications to Enable DevOps

2017· article· en· W2724423093 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
Typearticle
Languageen
FieldComputer Science
TopicSoftware System Performance and Reliability
Canadian institutionsYork University
Fundersnot available
KeywordsDevOpsMicroservicesCloud computingSoftware deploymentComputer scienceSoftware engineeringBridge (graph theory)Distributed computingSystems engineeringSoftware developmentSoftwareOperating systemEngineering

Abstract

fetched live from OpenAlex

Following recent technological advancements in software systems, like microservices, containers and cloud systems, DevOps has risen as a new development paradigm. Its aim is to bridge the gap between development and management of software systems and enable continuous development, deployment and integration. Towards this end, automated tools and management systems play a crucial role. In this work, we propose a method to develop an autonomic management system for multi-tier, multi-layer data-intensive containerized applications based on a performance model of such systems. The model is shown to be robust and accurate in estimating and predicting the system's performance for various workloads and topologies, while the AMS is capable of regulating the application's behaviour by taking independent actions on its various parts.

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 score0.876
Threshold uncertainty score0.800

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.272
Teacher spread0.254 · 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