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J-GLOBAL ID:202102222362954905   Reference number:21A0614556

A Causality Mining and Knowledge Graph Based Method of Root Cause Diagnosis for Performance Anomaly in Cloud Applications

クラウドアプリケーションにおける性能異常のための根本原因診断の因果律マイニングと知識グラフベース法【JST・京大機械翻訳】
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Volume: 10  Issue:Page: 2166  Publication year: 2020 
JST Material Number: U7135A  ISSN: 2076-3417  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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With the development of cloud ...
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Computer networks 
Reference (28):
  • Kim, M.; Roshan, S.; Sam, S. Root Cause Detection in a Service-Ooriented Architecture; ACM SIGMETRICS Performance Evaluation Review 41.1; ACM: New York, NY, USA, 2013; pp. 93-104.
  • Thalheim, J.; Rodrigues, A.; Akkus, I.E.; Bhatotia, P.; Chen, R.; Viswanath, B.; Jiao, L.; Fetzer, C. Sieve: Actionable insights from monitored metrics in distributed systems. In Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, 11-15 December 2017.
  • Weng, J.; Wang, J.H.; Yang, J.; Yang, Y. Root cause analysis of anomalies of multitier services in public clouds. IEEE/ACM Trans. Netw. 2018, 26, 1646-1659.
  • Marwede, N.; Rohr, M.; van Hoorn, A.; Hasselbring, W. Automatic failure diagnosis support in distributed large-scale software systems based on timing behavior anomaly correlation. In Proceedings of the IEEE 2009 13th European Conference on Software Maintenance and Reengineering, Kaiserslautern, Germany, 24-27 March 2009.
  • Marvasti, M.A.; Poghosyan, A.; Harutyunyan, A.N.; Grigoryan, N. An anomaly event correlation engine: Identifying root causes, bottlenecks, and black swans in IT environments. VMware Tech. J. 2013, 2, 35-45.
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