Dynamic fault diagnosis framework for virtual machine rolling upgrade operation in google cloud platform
作者： A. Cauveri , R. Kalpana
DOI: 10.1109/ICPEDC.2017.8081093
关键词: Decision tree 、 Anomaly detection 、 Statistical classification 、 Embedded system 、 C4.5 algorithm 、 Upgrade 、 Classifier (UML) 、 Cloud computing 、 Virtual machine 、 Engineering 、 Real-time computing
摘要: Now a day's failure of system outages in cloud application is the main drawbacks environment. It reduces economic losses for business Anomaly detection will reduce loss. at user end difficult, particularly Rolling Upgrade operation. Due to enormous anomaly operations are indistinguishable. very difficult find faults or anomalies. Current fails provide reliable assurance successful execution system. Proposed using Decision tree J48 classifier giving during running virtual machine upgrade The proposed method was evaluated on Google Cloud Platform. give high precision, recall, accuracy
sci-hub.se 参考文章(33)
Tian Huang, Yongxin Zhu, Yafei Wu, Stéphane Bressan, Gillian Dobbie, Anomaly detection and identification scheme for VM live migration in cloud infrastructure Future Generation Computer Systems. ,vol. 56, pp. 736- 745 ,(2016) , 10.1016/J.FUTURE.2015.06.005
Tao Wang, Wenbo Zhang, Jun Wei, Hua Zhong, Fault detection for cloud computing systems with correlation analysis integrated network management. pp. 652- 658 ,(2015) , 10.1109/INM.2015.7140351
Jishen Yu, Feng Liu, Wenli Zhou, Hua Yu, Hadoop-based network traffic anomaly detection in backbone international conference on cloud computing. pp. 140- 145 ,(2014) , 10.1109/CCIS.2014.7175718
Hongxin Hu, Gail-Joon Ahn, Ketan Kulkarni, Detecting and Resolving Firewall Policy Anomalies IEEE Transactions on Dependable and Secure Computing. ,vol. 9, pp. 318- 331 ,(2012) , 10.1109/TDSC.2012.20
Ignacio Bermudez, Stefano Traverso, Maurizio Munafo, Marco Mellia, A Distributed Architecture for the Monitoring of Clouds and CDNs: Applications to Amazon AWS IEEE Transactions on Network and Service Management. ,vol. 11, pp. 516- 529 ,(2014) , 10.1109/TNSM.2014.2362357
M.W. McCarthy, D.A. James, J.B. Lee, D.D. Rowlands, Decision-tree-based human activity classification algorithm using single-channel foot-mounted gyroscope Electronics Letters. ,vol. 51, pp. 675- 676 ,(2015) , 10.1049/EL.2015.0436
Dumidu Wijayasekara, Ondrej Linda, Milos Manic, Craig Rieger, Mining Building Energy Management System Data Using Fuzzy Anomaly Detection and Linguistic Descriptions IEEE Transactions on Industrial Informatics. ,vol. 10, pp. 1829- 1840 ,(2014) , 10.1109/TII.2014.2328291
Wray Buntine, Learning classification rules using Bayes international conference on machine learning. pp. 94- 98 ,(1989) , 10.1016/B978-1-55860-036-2.50033-3
Zhijiang Chen, Guobin Xu, Vivek Mahalingam, Linqiang Ge, James Nguyen, Wei Yu, Chao Lu, A Cloud Computing Based Network Monitoring and Threat Detection System for Critical Infrastructures Big Data Research. ,vol. 3, pp. 10- 23 ,(2016) , 10.1016/J.BDR.2015.11.002
Gangyong Jia, Guangjie Han, Daqiang Zhang, Li Liu, Lei Shu, An Adaptive Framework for Improving Quality of Service in Industrial Systems IEEE Access. ,vol. 3, pp. 2129- 2139 ,(2015) , 10.1109/ACCESS.2015.2496959