SMLHADC: Security Model for Load Harmonization and Anomaly Detection in Cloud-Reference-Cited by-同舟云学术

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SMLHADC: Security Model for Load Harmonization and Anomaly Detection in Cloud

Published:2022 Issue: Volume: Page:407-418
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Bakshi Mahima Sandeep^ORCID,Banker Drashti^ORCID,Prasad Vivek^ORCID,Bhavsar Madhuri^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-7637-6_36

Reference16 articles.

1. Al Nuaimi K, Mohamed N, Al Nuaimi M, Al-Jaroodi J (2012) A survey of load balancing in cloud computing: Challenges and algorithms. In: 2012 second symposium on network cloud computing and applications, IEEE, pp 137–142

2. Deepa T, Cheelu D (2017) A comparative study of static and dynamic load balancing algorithms in cloud computing. In: 2017 International conference on energy, communication, data analytics and soft computing (ICECDS), IEEE, pp 3375–3378

3. Prasad VK, Bhavsar M (2017) Exhausting autonomic techniques for meticulous consumption of resources at an IaaS layer of cloud computing. In: International conference on future internet technologies and trends, Springer, pp 37–46

4. Dashti SE, Rahmani AM (2016) Dynamic vms placement for energy efficiency by psoin cloud computing. J Exp Theor Artif Intell 28(1–2):97–112

5. Prasad VK, Bhavsar MD (2020) Monitoring IaaS cloud for healthcare systems: healthcare information management and cloud resources utilization. Int J E-Health Med Commun (IJEHMC) 11(3):54–70

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