ೝෛՙʹ͑ΒΕΔΑ͏ʹߴͳ܇࿅͕ඞཁͱͳΔ • L. Bainbridge, "Ironies of automation,” Analysis, design and evaluation of man–machine systems, pp.129-135 1983. • G. Baxter, et al. "The ironies of automation: still going strong at 30?,” the 30th European Conference on Cognitive Ergonomics 2012. • B. Strauch, "Ironies of automation: Still unresolved after all these years," IEEE Transactions on Human-Machine Systems, vol. 48, no. 5, pp. 419-433 2017. • J. Paul Reed, “When /bin/sh Attacks: Revisiting "Automate All the Things”,” USENIX LISA19 2019. • Tanner Lund, “Ironies of Automation: A Comedy in Three Parts,”, USENIX SREcon19 Asia/Pacific 2019. શͯΛࣗಈԽ͠Α͏ͱͯ͠͏·͍͔͘ͳ͍ ෳࡶ͞Λࣺͯͯɺγϯϓϧʹͨ͠ͱͯ͠ɺͰ͖ͳ͍͜ͱͰ͖ͳ͍·· ෳࡶ͞Λड༰ͯ͠ɺ͍͔ʹਓؒͷೝෛՙΛԼͤ͞Δ͔ ࣗಈԽͷൽ
response time Service E response time Service A response time Service D response time Service E response time Service F response time Service C response time ᶃܥྻؒͷҼՌൖάϥϑͷߏங ᶄҼՌͷܦ࿏ͷਪ Ma, M.,et al., AutoMAP: Diagnose Your Microservice-based Web Applications Automatically, WWW2020. Qiu, J.,et al., A Causality Mining and Knowledge Graph Based Method of Root Cause Diagnosis for Performance Anomaly in Cloud Applications, Applied Sciences, 2020. Lin, J.,et al., Microscope: Pinpoint Performance Issues with Causal Graphs in Micro-Service Environments, ICSOC2018. Service A response time Service F response time Service C response time Top-1 Top-2 Service B response time
Paparrizos, J. and Gravano, L., k-Shape: Efficient and Accurate Clustering of Time Series,(SIGMOD2015) ߴԽͷͨΊɺ1ճͷॲཧͰΫϥελΛܾఆՄೳͳ֊తΫϥελϦϯάΛ࠾༻ ʢ ͕ͩɺ1αʔϏε͋ͨΓͷܥྻ͕খ͍ͨ͞ΊʹͳΒͳ͍ʣ O(n2) αʔϏεͷදܥྻ܈ Ϋϥελ දܥྻͷબ ଞͷܥྻͱͷڑͷ૯͕࠷খͷܥྻ
al., Sieve: Actionable Insights from Monitored Metrics in Distributed Systems, (Middleware 2017) ߃ৗతʹར༻ՄೳͳγεςϜͷಛΛநग़͢Δ͜ͱ͕తͰ͋Γɺຊ ݚڀͱత͕ҟͳΔ͕ɺҟͳΔతʹԠ༻Ͱ͖ΔՄೳੑ͕͋Δ ࣌ܥྻσʔλͷ࣍ݩݮख๏ Paparrizos, J. and Gravano, L., k-Shape: Efficient and Accurate Clustering of Time Series,(SIGMOD2015)