DMFD: Non-Intrusive Dependency Inference and Flow Ratio Model for Performance Anomaly Detection in Multi-Tier Cloud Applications

AuthID
 P-00R-37M
3
Author(s)
Kim, H
6
Editor(s)
Elisa Bertino; Carl K. Chang; Peter Chen; Ernesto Damiani; Michael Goul; Katsunori Oyama
Document Type
Proceedings Paper
Year published
2019
Published
in 2019 IEEE 12TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (IEEE CLOUD 2019) in IEEE International Conference on Cloud Computing, ISSN: 2159-6182
Volume: 2019-July, Pages: 164-173 (10)
Conference
12Th Ieee International Conference on Cloud Computing (Ieee Cloud) Held as Part of Ieee World Congress on Services (Ieee Services), Date: JUL 08-13, 2019, Location: MIlan, ITALY, Sponsors: IEEE, IEEE Comp Soc, CCF TCSC
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Dblp®/en/publications/view/789748
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Publication Identifiers
Dblp: conf/IEEEcloud/FuPK19
Scopus: 2-s2.0-85072323339
Wos: WOS:000556208000023
Source Identifiers
ISSN: 2159-6182
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