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 language | English |
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Title of host publication | Service-Oriented Computing |
Subtitle of host publication | 17th International Conference, ICSOC 2019 Toulouse, France, October 28–31, 2019 Proceedings |
Editors | Sami Yangui, Ismael Bouassida Rodriguez, Khalil Drira, Zahir Tari |
Place of Publication | Cham Switzerland |
Publisher | Springer |
Pages | 314-330 |
Number of pages | 17 |
ISBN (Electronic) | 9783030337025 |
ISBN (Print) | 9783030337018 |
DOIs | |
Publication status | Published - 2019 |
Event | International Conference on Service Oriented Computing 2019 - Toulouse, France Duration: 28 Oct 2019 → 31 Oct 2019 Conference number: 17th https://web.archive.org/web/20190327095925/http://www.icsoc.org/ |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 11895 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Service Oriented Computing 2019 |
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Abbreviated title | ICSOC 2019 |
Country/Territory | France |
City | Toulouse |
Period | 28/10/19 → 31/10/19 |
Internet address |