| Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
|---|---|---|
| Article Number | 01115 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/matecconf/202439201115 | |
| Published online | 18 March 2024 | |
A review on fixed threshold based and adaptive threshold based auto-scaling techniques in cloud computing
1 KGRCET, CSE (AI&ML) Department, Hyderabad, India
2 Department of IT, GRIET, Hyderabad, Telangana, India
3 Lovely Professional University, Phagwara, Punjab,India.
Cloud computing has evolved as an effective technology in the past few years. It is playing an important role in information technology. The main characteristics and challenges of cloud computing are 100% availability and Scalability. To achieve these two things we have concepts like Load balancing and auto-scaling in the cloud. In this paper, we will discuss auto-scaling and the two different ways to achieve auto-scaling. The commonly used auto-scaling technique is fixed threshold-based auto-scaling and it is further modified as adaptive threshold-based auto-scaling. Auto-scaling can scale up or down the cloud resources based on demand, which means the virtual machines are automatically launched or deleted based on the requirement. As Auto-scaling provides better fault tolerance, better availability, and cost management, it improves an organization’s service level agreements.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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