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Edge computing tasks orchestration : an energy-aware approach |
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| Author: | Thomsen, Johan Løhde1; Dragsbæk Schmidt Thomsen, Kristian1; Schmidt, Rasmus B.1; |
| Organizations: |
1Aalborg University, Denmark 2Tampere University, Tampere, Finland 3University of Oulu, Oulu, Finland |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe20231103142857 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2023
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| Publish Date: | 2023-11-03 |
| Description: |
AbstractIn this paper, we investigate experimentally the use of auctioning as a method for optimizing task orchestration in distributed computing systems by making selfish agents compete to execute computational tasks. Our goal is to find an approach that can improve the performance of these systems, using a deadline, fines, and reward limits in a reverse second-price sealed bid auction, to incentive and control the system, specifically in terms of improving task throughput and power consumption. With improvements to both energy consumption and task throughput, we have developed a promising approach, that is able to scale with the number of machines in the system. Results suggest that this type of auction may be useful for improving the implementation of these systems in a wide range of scenarios. see all
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| Series: |
IEEE International Conference on Edge Computing |
| ISSN: | 2767-990X |
| ISSN-E: | 2767-9918 |
| ISSN-L: | 2767-990X |
| ISBN: | 979-8-3503-0483-1 |
| ISBN Print: | 979-8-3503-0484-8 |
| Pages: | 115 - 117 |
| DOI: | 10.1109/EDGE60047.2023.00027 |
| OADOI: | https://oadoi.org/10.1109/EDGE60047.2023.00027 |
| Host publication: |
2023 IEEE International Conference On Edge Computing & Communications, IEEE EDGE 2023 : proceedings |
| Host publication editor: |
Ardagna, Claudio Awaysheh, Feras Bian, Hongyi Chang, Carl K. Chang, Rong N. Delicato, Flavia Desai, Nirmit Fan, Jing Fox, Geoffrey C. Goscinski, Andrzej Jin, Zhi Kobusińska, Anna Rana, Omer |
| Conference: |
IEEE International Conference on Edge Computing & Communications |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
113 Computer and information sciences |
| Subjects: | |
| Funding: |
This work was partially supported by the Validation WP of the ERC Advanced Grant LASSO (Learning, Analysis, SynthesiS and Optimization of Cyber-Physical Systems), by Industry X and 6GSoft projects funded by Business Finland. |
| Copyright information: |
© 2023 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. |