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Authors: Tadaoki Uesugi 1 ; Max Tritschler 2 ; Hoa Dung Ha Duong 3 ; Andrey Baboshin 4 ; Yuri Glickman 2 and Peter Deussen 2

Affiliations: 1 Yokohama Research Laboratory and Hitachi Ltd., Japan ; 2 Fraunhofer Institute FOKUS, Germany ; 3 Institut Telecom and Telecom ParisTech, France ; 4 TrustedSafe GmbH, Germany

Keyword(s): Cloud Computing, Virtualization, Optimization, Predictable/Unpredictable Virtual Machine, Shared/Occupied Region.

Abstract: One of the important issues in cloud computing is an advanced management of large scale server clusters enabling efficient energy use and SLA compliance. That includes smart placement of virtual machines to appropriate hosts and thereby, efficient allocation of physical resources to virtual machines. One of the promising approaches is to optimize the placement based on predicting future requested physical resources for each virtual machine. However, often predictions cannot always be accurate and might cause increasing rates of SLA violation. In this paper we present an adaptive algorithm for predictive resource allocation and optimized VM placement that offers a solution to this problem.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Uesugi, T.; Tritschler, M.; Dung Ha Duong, H.; Baboshin, A.; Glickman, Y. and Deussen, P. (2012). CLOUD MANAGEMENT ON THE ASSUMPTION OF FAILURE OF RESOURCE DEMAND PREDICTION. In Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-8565-05-1; ISSN 2184-5042, SciTePress, pages 153-160. DOI: 10.5220/0003959301530160

@conference{closer12,
author={Tadaoki Uesugi. and Max Tritschler. and Hoa {Dung Ha Duong}. and Andrey Baboshin. and Yuri Glickman. and Peter Deussen.},
title={CLOUD MANAGEMENT ON THE ASSUMPTION OF FAILURE OF RESOURCE DEMAND PREDICTION},
booktitle={Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER},
year={2012},
pages={153-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003959301530160},
isbn={978-989-8565-05-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER
TI - CLOUD MANAGEMENT ON THE ASSUMPTION OF FAILURE OF RESOURCE DEMAND PREDICTION
SN - 978-989-8565-05-1
IS - 2184-5042
AU - Uesugi, T.
AU - Tritschler, M.
AU - Dung Ha Duong, H.
AU - Baboshin, A.
AU - Glickman, Y.
AU - Deussen, P.
PY - 2012
SP - 153
EP - 160
DO - 10.5220/0003959301530160
PB - SciTePress

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