{"id":"W2910940173","doi":"10.48550/arxiv.1901.04946","title":"Kubernetes as an Availability Manager for Microservice Applications","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Microservices; Computer science; Stateful firewall; Orchestration; Provisioning; Architectural style; Cloud computing; Leverage (statistics); Architecture; High availability; Service (business); Stateless protocol; Service-oriented architecture; Distributed computing; World Wide Web; Computer network; Operating system; Web service; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005466138,0.0003360355,0.0003921954,0.0001462949,0.0002208285,0.0001744033,0.002813173,0.0004108522,0.00003021455],"category_scores_gemma":[0.00002281884,0.0003570397,0.000279864,0.000438606,0.0001040642,0.0006224303,0.001526031,0.0003648963,0.0006657654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000233345,"about_ca_system_score_gemma":0.0002825542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003435644,"about_ca_topic_score_gemma":0.00005546794,"domain_scores_codex":[0.9973716,0.0001142716,0.0002876788,0.001735705,0.00009522508,0.0003955451],"domain_scores_gemma":[0.995671,0.0002020375,0.0002715703,0.003291745,0.0003879435,0.0001757319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002995828,0.001940107,0.1961236,0.008798683,0.0006575074,0.00004778799,0.00226313,0.2668891,0.0002679986,0.5060729,0.003122194,0.01351746],"study_design_scores_gemma":[0.001328361,0.000264055,0.01613953,0.0001651635,0.0001903083,0.000008923405,0.0002198123,0.7038886,0.0005702843,0.2388232,0.03674718,0.001654639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3763706,0.00007158247,0.6186348,0.00009678649,0.0006014976,0.001947896,0.00004383277,0.0004503532,0.001782686],"genre_scores_gemma":[0.9915773,0.00005404068,0.00473323,0.0002086164,0.0001186962,0.00003128317,0.00006420929,0.00002178,0.003190897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6152067,"threshold_uncertainty_score":0.9998882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04292096687603732,"score_gpt":0.2027153481552182,"score_spread":0.1597943812791809,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}