AI Strategy for Stake Cloud Computing and Edge Computing: A State of the art survey

In recent years, the growth of smart and intelligent products has been limitless. As a result, numerous new applications, such as smart homes, smart cities, virtual reality, augmented reality, smart services, and so on, are becoming popular. Storage and calculation are the most fundamental and crucial requirements of the aforesaid services and technologies. Edge computing, also known as closer server, is used extensively for storage and processing all over the world. Because of technological advancements, the decentralized database is finding it challenging to keep up with the demands of these sorts of updating technologies. Many network computers models or stake cloud computing have been designed and developed by the scholastic and assiduity group to augment and fill the service gap faced by the cloud. These include grid computing, edge computing, utility computing, green computing, fog computing, and dew computing. But mainly AI integration with Edge will give a result, they build a wide range of applications to extend the security in edge computing. The major goal is to provide the greatest performance for the end user or customer experience. Cloud computing is examined, including grid computing, fog computing, dew computing, and edge computing, both theoretically and technologically in this survey work. Finally, the study is concluded by stating that integration of edge with AI computing growth has the potential to benefit society in a variety of ways, as seen through the eyes of numerous writers and also stake cloud computing will become a very hot scrutinized topic in the industry and academic undoubtedly