Hybrid Fruit Fly Optimization for EHR Applications in Cloud Environments for Load Balancing Optimization-Reference-Cited by-同舟云学术

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Hybrid Fruit Fly Optimization for EHR Applications in Cloud Environments for Load Balancing Optimization

Published:2022 Issue: Volume: Page:1-7
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Sridhar P. S. V. S.^ORCID,Voleti Sai Sameera^ORCID,Mandhala Venkata Naresh^ORCID,Bhattacharyya Debnath^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8364-0_1

Reference13 articles.

1. Vinati Kamani, A. (2019). 5 ways cloud computing is impacting healthcare. Retrieved from https://www.healthitoutcomes.com/doc/ways-cloud-computing-is-impacting-healthcare-0001.

2. Maguluri, S. T., Srikant, R., & Ying, L. (2012, March). Stochastic models of load balancing and scheduling in cloud computing clusters. In 2012 Proceedings IEEE Infocom (pp. 702–710). IEEE.

3. Cloud Computing in Healthcare. (2020). Retrieved from https://www.foreseemed.com/blog/cloud-computing-in-healthcare.

4. Li, Y., & Han, M. (2020). Improved fruit fly algorithm on structural optimization. Brain Informatics, 7(1), 1–13.

5. Wang, L., & Zhang, X. L. (2017). Research progress of fruit fly optimization algorithm. Control Theory & Applications, 34(5), 557–563.

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