Study of efficiency of using it-infrastructure-as-a-service for cloud computing

Abstract

With the growth of the information technology market and the constant increase in demand, companies began to carry an unprecedented burden on their own infrastructure, trying to meet t customers’ growing expectations. Safe, reliable, and fast services are a top priority for companies that are largely trying to meet the expectations of their customers and adjust to the constant changes in the service market. With constant efforts to increase their own computing power, infrastructure and storage space, companies are increasingly finding that the cost of developing and maintaining a reliable, secure, and at the same time scalable infrastructure is prohibitive. To cope with the challenges of acquiring and maintaining their own infrastructure solutions, companies can take advantage of off-the-shelf solutions such as cloud computing. Cloud computing is a fast-growing industry that allows companies not to focus on expanding their own local infrastructure and, instead, move to the use of ready-made Internet services. Cloud service providers provide access to storage and processing, as well as software at affordable and dynamic prices, which allows companies to save money by adopting cloud solutions. Cloud services provide a variety of service models, each capable of meeting a specific set of business requirements and needs. The main service models include Infrastructure as a Service (IaaS), Software as a Service (SaaS) and Platform as a Service (PaaS), the features and disadvantages of which vary and are interchangeable, allowing you to choose a more suitable model. This article explores existing solutions and services and provides the advantages and disadvantages of using one or another solution for various needs and highlighted the most universal solution suitable for most requests. In the study, the most popular solutions related to cloud computing present and analyze their key features. The most powerful and attractive service for processing a large amount of input data, including space images, is IaaS. When used, it provides high speed and availability of resources, adaptation to the task, data security due to distributed storage and processing, which allows increasing performance and minimizing latency for the end user.