Design and Modeling of Self-Adapting E-Business Systems using Organic Computing

The increasing development of information technology and the formation of the digital economy have made the Internet a successful platform for universal business coverage. Due to the vast scope of the Internet and the increasing complexity of systems, computing and business control as a human mechanism has faced errors and wasted time. The purpose of this study is to solve the complexities of e-business in which human beings have the least involvement. The research method is design and modeling of self-adaptive mechanisms by Eni Logic software. Organic calculations and intelligent agents are used to coordinate the components of e-business to increase efficiency and better interaction, and also to implement self-adaptation of the system under Distributed monitoring / control is used. Statistical community and related data were collected from the virtual store company selling health products, which includes the amount of requests, inventory, storage capacity, production and sales costs. A total of 500 samples were randomly selected from the total product request and the data were analyzed by random sampling method. In this study, e-business was simulated through two scenarios of self-adaptation and non-adaptation by Eni Logic software published by Hewlett-Packard in 2000, and the results were compared in terms of cost. Obtained in another model. The superiority of organic systems over other models is its real-time and autonomous features, which are well demonstrated in this model.