J. L. Thomsen et al., "Edge Computing Tasks Orchestration: An Energy-Aware Approach," 2023 IEEE International Conference on Edge Computing and Communications (EDGE), Chicago, IL, USA, 2023, pp. 115-117, doi: 10.1109/EDGE60047.2023.00027
Edge computing tasks orchestration : an energy-aware approach
|Author:||Thomsen, Johan Løhde1; Dragsbæk Schmidt Thomsen, Kristian1; Schmidt, Rasmus B.1;|
1Aalborg University, Denmark
2Tampere University, Tampere, Finland
3University of Oulu, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe20231103142857
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2023-11-03
In 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.
IEEE International Conference on Edge Computing
|Pages:||115 - 117|
2023 IEEE International Conference On Edge Computing & Communications, IEEE EDGE 2023 : proceedings
|Host publication editor:||
Chang, Carl K.
Chang, Rong N.
Fox, Geoffrey C.
IEEE International Conference on Edge Computing & Communications
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
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.
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