PerfML: Smart Management of Complex Performance Data and Analytics
Author:
Affiliation:
1. Georgia Institute of Technology,School of Computer Science,Atlanta,USA
2. Louisiana State University,Dept. Computer Science and Eng.,Baton Rouge,USA
3. FUJITSU LIMITED,Social Digital Twin Project,Kawasaki,JAPAN
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9750278/9750279/09750375.pdf?arnumber=9750375
Reference38 articles.
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3. A Method and Tool for Automated Induction of Relations from Quantitative Performance Logs
4. The impact of software resource allocation on con-solidated n-tier applications;li;2014 IEEE 7th International Conference on Cloud Computing,0
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