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Authors: Yael Elinav 1 ; Alex Moshinky 1 ; Lior Siag 1 and Nezer Jacob Zaidenberg 1 ; 2

Affiliations: 1 Faculty of Computer Science, College of Management, 2 Eli Weisel st., Rishon LeZion, Israel ; 2 Faculty of IT, University of Jyväskylä, Jyväskylä, Finland

Keyword(s): Virtualization Sprawling, Inactive Virtual Machines, Virtual Machines, Remote Management, System Administration, Green Computing.

Abstract: Virtual servers are important in many data-centers. Multiple guest virtual machines are consolidated on several hosts on-site or on the cloud, and serve the organization’s computational needs. However, virtual machines not cleared from the system, known as zombie machines, waste resources and pose a security risk. We present a novel tool to optimize resource use by tracking down zombie machines: HERO (Host Environment Resource Optimization). HERO leverages multiple testing approaches and machine learning to assist system administrators in locating “zombie” machines.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Elinav, Y.; Moshinky, A.; Siag, L. and Zaidenberg, N. (2021). HERO vs. Zombie: Identifying Zombie Guests in a Virtual Machine Environment. In Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - MODELSWARD; ISBN 978-989-758-487-9; ISSN 2184-4348, SciTePress, pages 240-245. DOI: 10.5220/0010261802400245

@conference{modelsward21,
author={Yael Elinav. and Alex Moshinky. and Lior Siag. and Nezer Jacob Zaidenberg.},
title={HERO vs. Zombie: Identifying Zombie Guests in a Virtual Machine Environment},
booktitle={Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - MODELSWARD},
year={2021},
pages={240-245},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010261802400245},
isbn={978-989-758-487-9},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - MODELSWARD
TI - HERO vs. Zombie: Identifying Zombie Guests in a Virtual Machine Environment
SN - 978-989-758-487-9
IS - 2184-4348
AU - Elinav, Y.
AU - Moshinky, A.
AU - Siag, L.
AU - Zaidenberg, N.
PY - 2021
SP - 240
EP - 245
DO - 10.5220/0010261802400245
PB - SciTePress