Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers

Abdulrahman Nahhas; Sascha Bosse; Matthias Pohl; Klaus Turowski

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Paper

Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers

Topics: Cloud Management and Operations; Cloud Optimization and Automation; Resource Management

In Proceedings of the 9th International Conference on Cloud Computing and Services Science CLOSER - Volume 1, 471-478, 2019 , Heraklion, Crete, Greece

Authors: Abdulrahman Nahhas ; Sascha Bosse ; Matthias Pohl and Klaus Turowski

Affiliation: Very Large Business Applications Lab, Faculty of Computer Science, Otto-von-Guericke University Magdeburg and Germany

Keyword(s): IT Resources Management, Adaptive Load Distribution Strategies, Virtual Machines Live Migration, Energy-aware Virtual Machines Allocation, Heuristic and Metaheuristic Optimization, Data Center Management.

Abstract: The future vision of IT-industry is shifting toward a utility-based offering of computing power using the concepts of pay-per-use. However, the elasticity and scalability characteristics of cloud computing massively increased the complexity of IT-system landscapes, since market leaders extensively expanding their IT-infrastructure. Accordingly, the carbon-footprint of data centers operations is estimated to be the fastest growing footprint among different IT fields. The majority of contribution in the examined literature that address IT resources management in data centers exhibits either a specific or a generic nature. The specific solutions are designed to solve specific problems, but yet neglecting the dynamic nature of IT-systems. The design of generic solutions usually overlooks many details of the investigated problems that have an impact on the possible optimization potential. One can argue that an optimized combination of different algorithms used during a specified time span would outperform a single specific or generic algorithm for the management of IT recourses in data centers. Therefore, a conceptual design for an autonomic and adaptive load management strategy is presented to investigate the aforementioned hypothesis. Our initial experimental results showed considerable improvement when multiple algorithms are used for the allocation of virtual machines. (More)

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Paper citation in several formats:

Nahhas, A.; Bosse, S.; Pohl, M. and Turowski, K. (2019). Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers. In Proceedings of the 9th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-365-0; ISSN 2184-5042, SciTePress, pages 471-478. DOI: 10.5220/0007754004710478

@conference{closer19,
author={Abdulrahman Nahhas. and Sascha Bosse. and Matthias Pohl. and Klaus Turowski.},
title={Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers},
booktitle={Proceedings of the 9th International Conference on Cloud Computing and Services Science - CLOSER},
year={2019},
pages={471-478},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007754004710478},
isbn={978-989-758-365-0},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - CLOSER
TI - Toward an Autonomic and Adaptive Load Management Strategy for Reducing Energy Consumption under Performance Constraints in Data Centers
SN - 978-989-758-365-0
IS - 2184-5042
AU - Nahhas, A.
AU - Bosse, S.
AU - Pohl, M.
AU - Turowski, K.
PY - 2019
SP - 471
EP - 478
DO - 10.5220/0007754004710478
PB - SciTePress