{"id":"W2278325577","doi":"10.1109/isspit.2015.7394315","title":"Two architectures for real-time sensor data streaming for cloud applications","year":2015,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Cloud computing; Scalability; Leverage (statistics); Wireless sensor network; Analytics; Real-time computing; Real-time data; Data transmission; Distributed computing; Computer network; Database; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000887835,0.0007562796,0.0005256131,0.0008758829,0.001174948,0.002320439,0.002729082,0.00114068,0.003939037],"category_scores_gemma":[0.002541168,0.0004795013,0.0005864084,0.001069588,0.0007914489,0.00335867,0.002111726,0.002180207,0.001546347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794032,"about_ca_system_score_gemma":0.002276052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004541945,"about_ca_topic_score_gemma":0.005128508,"domain_scores_codex":[0.9986481,0.0001275727,0.0001071413,0.0002389995,0.0005892925,0.0002888537],"domain_scores_gemma":[0.9978741,0.0001681901,0.000130183,0.0006755783,0.0008421537,0.0003097164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00216095,0.001245464,0.00448449,0.0006943929,0.0001740887,0.0009560144,0.001336684,0.03620435,0.1650466,0.233103,0.07204788,0.4825461],"study_design_scores_gemma":[0.0003629654,0.0006013823,0.004016857,0.0001224512,0.0001162439,0.0009761725,0.0004225612,0.6345873,0.1517647,0.03207245,0.1746964,0.0002604451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04338279,0.001241316,0.9184918,0.002205366,0.001303922,0.0009676798,0.000350156,0.008980752,0.02307618],"genre_scores_gemma":[0.4415343,0.001127139,0.5269599,0.0009984354,0.0005219888,0.0006475257,0.0009803666,0.000700734,0.02652959],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004541945,"threshold_uncertainty_score":0.01317739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06967846253519978,"score_gpt":0.3299097380976408,"score_spread":0.260231275562441,"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."}}