Two-phase industrial manufacturing service management for energy efficiency of data centers

Zhang, W., Yadav, R., Tian, Y.-C., Sah Tyagi, S.K.K., Eelgendy, I.A. and Kaiwartya, O. ORCID: 0000-0001-9669-8244, 2022. Two-phase industrial manufacturing service management for energy efficiency of data centers. IEEE Transactions on Industrial Informatics. ISSN 1551-3203

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Abstract

Data-driven industrial manufacturing services are proliferating. They use large amounts of data generated by Industrial-Internet-of-Things devices for intelligent services to end-service-users. However, cloud data centers hosting these services consumes huge amount of energy and contributing to high operational cost. To address this issue, this paper proposes an energy-efficient resources allocation framework for cloud services. It operates in two phases. Firstly, a multi-threshold based host CPU utilization classification scheme is developed to classify hosts into four groups. It is designed through analyzing the CPU utilization data using the least median squares regression model. Thereby, the scheme limits search space, thus reducing time complexity. Secondly, with a metaheuristic search, an energy and thermal-aware resource allocation method is developed to find an energy-efficient host for allocating resources to services. From real data center workload traces, extensive experiments show that our frame-work outperforms existing baseline approaches with 6.9%, 33.75%, and 34.1% on average in terms of temperature, energy consumption, and service-level-agreement violation respectively.

Item Type: Journal article
Publication Title: IEEE Transactions on Industrial Informatics
Creators: Zhang, W., Yadav, R., Tian, Y.-C., Sah Tyagi, S.K.K., Eelgendy, I.A. and Kaiwartya, O.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 23 February 2022
ISSN: 1551-3203
Identifiers:
NumberType
10.1109/tii.2022.3153508DOI
1521761Other
Rights: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 28 Feb 2022 14:59
Last Modified: 28 Feb 2022 14:59
URI: http://irep.ntu.ac.uk/id/eprint/45772

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