Optimizing Saas For Data-Driven IoT Applications In Smart Factory Communication

Abstract

Internet and communication technology is becoming more and more complex with the growing number of their users. Businesses and service providers have embraced innovative strategies to meet consumer needs for processing power, memory, and storage.. Parallel computing gave way to distributed computing, grid computing, and now cloud computing as a result of the Internet's profound impact on the computer industry. Cloud computing is a new trend in the world of information technology. It comprises of a collection of resources and services made accessible to the public by means of internet. The term 'cloud' is a concept for defining the Web as a domain where computation is deployed and provided as a service. The advent of cloud computing represents a transformation in the conception, development, implementation, maintenance, modification, management, and pricing of information technology (IT) services. The power of computer and communication systems keeps growing, but the cost of calculation per unit is falling daily. Computing power itself is now primarily regarded as utility. It offers end-users with scalable, configurable, and QoS-guaranteed flexible computing services on a subscription basis in which consumers do not permanently acquire different infrastructures but buy them whenever they need it using blockchain-driven paid strategies. Cloud computing has its own economic, conceptual, technological and user experience features. The fundamental characteristics of cloud computing include Resource pooling and management, serviceability, high failure tolerance, reliability, and automated recovery. Ant Colony Optimization based Cloud Feature Selection (ACO-CFS) is used to select optimal cloud feature for enhancing the collective wisdom of Software as a service application.