| Full text | |
| Author(s): |
Guevara, Judy C.
;
Torres, Ricardo da S.
;
Bittencourt, Luiz F.
;
da Fonseca, Nelson L. S.
;
IEEE
Total Authors: 5
|
| Document type: | Journal article |
| Source: | 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022); v. N/A, p. 6-pg., 2022-01-01. |
| Abstract | |
In this paper, we propose three multi-objective task scheduling algorithms for the cloud-fog continuum, that minimize both the makespan and processing cost of workflows, considering the QoS requirements of the applications. Numerical results show that the scheduler based on Reinforcement Learning outperforms those based on classical optimization. (AU) | |
| FAPESP's process: | 21/12582-0 - Multi-objective scheduling of applications with different class of services on cloud-fog networks |
| Grantee: | Judy Carolina Guevara Amaya |
| Support Opportunities: | Scholarships in Brazil - Technical Training Program - Technical Training |