Modelagem de ecossistemas de software das plataformas de computação em nuvem: amazon web services e google cloud platform

Abstract

Ecosystems can be called sets, that is, they are groups that, although different from each other, interact in a mutual and disciplined way. From the moment that a company takes its software products beyond its organizational limits, starting to make its platform available and interacting with actors external to its organization, an ECOS is formed. That is, ECOS is a Software Engineering metaphor that has been applied to understand the dynamics of the software supply network centered on software platforms in the last decade. Cloud computing is a technology that enables the use of computing resources through the internet, which includes the most varied programs and information. The concept of Cloud Computing continues to undergo countless changes in its definition due to the strong activity of innovations around this technology. Cloud is a metaphor for the Internet or communication infrastructure between architectural components based on an abstraction that hides the complexity of the infrastructure. The infrastructure of the cloud computing environment is usually composed of a large number (hundreds or thousands) of physical machines or low-cost physical nodes, connected through a network. In the literature, SSN models of ECOS are scarce available and in relation to cloud computing platforms, studies with this bias are even scarcer in the literature. In this sense, this work proposes to carry out an SSN modeling of the ECOS of the AWS and GCP cloud computing platforms, focusing on the comparison and analysis of the models generated on the main services provided by the platforms, allowing an overview of the ECOS of each platform and how it is inserted in the market, how it provides and prices its main cloud services for its customers and providing a service vision of the software for platform developers. As a secondary objective of this research will be to present some research challenges and opportunities. As a result, 2 SSN models were generated for the ECOS of the AWS and GCP platforms, comparisons were made on the generated models, the prices of the platforms’ services and on the form of availability of services by the platforms to their customers.