Bioinspired Model for Edge-based Task Scheduling Applications-Reference-Cited by-同舟云学术

Bioinspired Model for Edge-based Task Scheduling Applications

Published:2022-12-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Information Management & Machine Intelligence
language:
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Author:

Nimkar Saurabh Sureshrao¹^ORCID,Khanapurkar Milind M²^ORCID

Affiliation:

1. ELECTROICS ENGINEERING DEPARTMENT, G H RAISONI COLLEGE OF ENGINEERING, India

2. Department of Electronics & Telecommunication Engineering, G H Raisoni College of Engineering, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3590837.3590889

Reference24 articles.

1. Xiong , Yonghua ‘A Johnson's-rule-based genetic algorithm for two-stage-task scheduling problem in data-centers of cloud computing’ . IEEE transactions on cloud computing 7.3 ( 2019 ): 597–610. Web . Xiong, Yonghua ‘A Johnson's-rule-based genetic algorithm for two-stage-task scheduling problem in data-centers of cloud computing’. IEEE transactions on cloud computing 7.3 (2019): 597–610. Web.

2. Nabi , Said , Muhammad Ibrahim , Jose M. Jimenez . ‘DRALBA: Dynamic and resource aware load balanced scheduling approach for cloud computing’ . IEEE access: practical innovations, open solutions 9 ( 2021 ): 61283–61297. Web . Nabi, Said, Muhammad Ibrahim, Jose M. Jimenez. ‘DRALBA: Dynamic and resource aware load balanced scheduling approach for cloud computing’. IEEE access: practical innovations, open solutions 9 (2021): 61283–61297. Web.

3. A Task Scheduling Algorithm With Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing

4. Task Duplication-Based Scheduling Algorithm for Budget-Constrained Workflows in Cloud Computing

5. Computation Offloading and Task Scheduling for DNN-Based Applications in Cloud-Edge Computing