Optimized renewable energy use in green cloud data centers

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Abstract

The huge energy consumption of cloud data centers not only increases costs but also carbon emissions associated with such data centers. Powering data centers with renewable or green sources of energy can reduce brown energy use and consequently carbon emissions. However, powering data centers with these energy sources is challenging, as they are variable and not available at all times. In this work, we formulate the microservices management problem as finite Markov Decision Processes (MDP) to optimise renewable energy use. By dynamically switching off non-mandatory microservices and scheduling battery usage, upon the user’s preference, our proposed method makes a trade-off between the workload execution and brown energy consumption. We evaluate our proposed method using traces derived from two real workloads and real-world solar data. Simulated experiments show that, compared with baseline algorithms, our proposed approach performs up to 30% more efficiently in balancing the brown energy usage and workload execution.

Original languageEnglish
Title of host publicationService-Oriented Computing
Subtitle of host publication17th International Conference, ICSOC 2019 Toulouse, France, October 28–31, 2019 Proceedings
EditorsSami Yangui, Ismael Bouassida Rodriguez, Khalil Drira, Zahir Tari
Place of PublicationCham Switzerland
PublisherSpringer
Pages314-330
Number of pages17
ISBN (Electronic)9783030337025
ISBN (Print)9783030337018
DOIs
Publication statusPublished - 2019
EventInternational Conference on Service Oriented Computing 2019 - Toulouse, France
Duration: 28 Oct 201931 Oct 2019
Conference number: 17th
https://web.archive.org/web/20190327095925/http://www.icsoc.org/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume11895
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Service Oriented Computing 2019
Abbreviated titleICSOC 2019
CountryFrance
CityToulouse
Period28/10/1931/10/19
Internet address

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