A Supervised Learning Model for Identifying Inactive VMs in Private Cloud Data Centers

Author:

Kim In Kee1,Zeng Sai2,Young Christopher2,Hwang Jinho2,Humphrey Marty1

Affiliation:

1. University of Virginia, Charlottesville, VA, USA

2. IBM T.J. Watson Research, Yorktown Heights NY, USA

Publisher

ACM

Reference23 articles.

1. A view of cloud computing

2. Microsoft Azure. Trust Center. https://azure.microsoft.com/en-us/support/trust-center/.ONLINE. Microsoft Azure. Trust Center. https://azure.microsoft.com/en-us/support/trust-center/.ONLINE.

3. CloudVMI: Virtual Machine Introspection as a Cloud Service

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1. A Semi-supervised Learning Based Method for Identifying Idle Virtual Machines in Managed Cloud: Application and Practice;Web Services – ICWS 2023;2023

2. HERO vs Zombie: Destroying Zombie Guests in Virtual Machine Environments;Communications in Computer and Information Science;2023

3. BluePlan: A Service for Automated Migration Plan Construction Using AI;Lecture Notes in Computer Science;2019

4. CSI2: Cloud Server Idleness Identification by Advanced Machine Learning in Theories and Practice;Service-Oriented Computing;2019

5. Anomaly detection survey for information security;Proceedings of the 10th International Conference on Security of Information and Networks;2017-10-13

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