Comparative Analysis of Server and Serverless Cloud Computing Platforms

2022;
: pp. 115 - 120
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University, Computer Engineering Department

Cloud computing is emerging as a powerful computing paradigm for the efficient use of resources. However, decisions to move to cloud computing always remain risky from the customer's point of view, considering the benefits they get from it.

Existing research on cloud computing is more focused on technical aspects such as security, quality, efficiency, etc. However, research on the implementation of cloud computing is at an early stage. Thus, in this article, an attempt is made to create a model for cost analysis and advantages for deciding on the application of cloud computing. It takes into account various organizational parameters, designing server and serverless architectures using Microsoft Azure Portal cloud platform services and policies of this organization.

Also, it makes a comparative characterization of these services according to power and price criteria. A comparative description of these services according to capacity and price criteria is also given. It shows the structure of the test tool for assessment. Evaluation parameters and metrics are defined.

In addition, this article contains information about approaches to evaluating cloud platforms according to various criteria that are most important for a developer.

  1. “The cloud and Microsoft azure fundamentals” (2019). Microsoft Azure Infrastructure Services for Architects. Wiley, pp. 1–46. DOI: 10.1002/9781119596608.ch1.
  2. Sharma, Y. et al. (2016) “Reliability and energy efficiency in cloud computing systems: Survey and taxonomy,” Journal of network and computer applications, 74, pp. 66–85. DOI: 10.1016/j.jnca.2016.08.010.
  3. Mahmoudi, N. and Khazaei, H. (2022). “Performance modeling of metric-based serverless computing platforms,” IEEE transactions on cloud computing, pp. 1–1. DOI: 10.1109/tcc.2022.3169619.
  4. Pérez, A. et al. (2018). “Serverless computing for container-based architectures,” Future generations computer systems: FGCS, 83, pp. 50–59. DOI: 10.1016/j.future.2018.01.022.
  5. Pavych, N. and Pavych, T. (2019). “Method for time minimization of API requests service from cyber-physical system to cloud database management system,” Advances in Cyber-Physical Systems, 4(2), pp. 125–131. DOI: 10.23939/acps2019.02.125.