On the effectiveness of isolation-based anomaly detection in cloud data centers

Author:

Calheiros Rodrigo N.1ORCID,Ramamohanarao Kotagiri2,Buyya Rajkumar2ORCID,Leckie Christopher2,Versteeg Steve3

Affiliation:

1. School of Computing, Engineering and Mathematics; Western Sydney University; Penrith NSW Australia

2. School of Computing and Information Systems; The University of Melbourne; Melbourne VIC Australia

3. CA Technologies; Melbourne VIC Australia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

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1. Bilateral Anomaly Detection Based on Edge Computing: Baseboard Management Controller;2023 16th International Symposium on Computational Intelligence and Design (ISCID);2023-12-16

2. A Multilevel Learning Model for Predicting CPU Utilization in Cloud Data Centers;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14

3. Towards optimization of anomaly detection in DevOps;Information and Software Technology;2023-08

4. Design of an efficient decision support system using evolutionary deep forward network model;Journal of Intelligent & Fuzzy Systems;2023-04-03

5. Integrated data-driven framework for anomaly detection and early warning in water distribution system;Journal of Cleaner Production;2022-11

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