1 research outputs found
Complexity and monitoring of economic operations using a game-theoretic model for cloud computing
In this study, a model is presented for allocating cloud computing resources based on
economic considerations using tools from game theory. The model, called the Non-Cooperative
Game Resource Allocation Algorithm (NCGRAA), is designed to achieve the optimum stage in
cloud computing. In addition, the Bargaining Game Resource Allocation Algorithm (BGRAA) is
introduced to the existing system to develop the billing process within the constraints of availability
and fairness. This system-based algorithm implements methods for converging on and improving
the Nash Equilibrium and Nash Bargaining solutions. While the Nash equilibrium helps to develop
decision-making concepts with game theory, one of its main goals is to achieve the desired outcome
and avoid deviation from the working stage. Nash Bargaining is a unique solution that occurs
between two parties and takes into account the process of bargaining to provide a fair solution
that is scale invariant and independent. In recent years, cloud computing has become a popular
way to manage computing services and enable producers and consumers to interact. This process
allows users to obtain goods at an affordable cost from sellers according to their expectations. This
research investigates the economic operation monitoring of cloud computing using the gaming theory
model. A Static Negotiation Analysis Method with a Bargaining Process (SNAM-BP) for a dynamic
conceptual framework is presented to display the weighted relationship between primary issues and
keywords used to evaluate the potential partnership of each country.Web of Science112art. no. 5