Cloud Computing and Edge Computing For Scalability and Performance

Abstract

Building effective and scalable systems that can handle enormous volumes of data processing and provide low-latency processing and real-time analytics may be accomplished by combining cloud and edge computing. Edge and cloud computing are both used in hybrid cloud computing. We investigated the various ways that cloud and edge computing may be coupled in this research report. The names "cloud," "edge," "cloud and edge," "edge as a service," "mobile edge computing," and "fog computing" were all used to characterise these techniques. When choosing a strategy, organisations should carefully consider their needs because each strategy has benefits and drawbacks of its own. We also reviewed a range of academic articles that discuss the advantages and disadvantages of using a hybrid cloud/edge computing architecture. The papers show how cloud and edge computing may be applied to support special use cases in a variety of industries, including manufacturing, transportation, and healthcare. The issues that need to be resolved include those related to connectivity, security, complexity, cost, and scalability, to name just a few. If organisations wish to guarantee the success of their cloud and edge computing solutions, they must carefully tackle the aforementioned concerns. Looking ahead, we can see that the field of cloud and edge computing has a lot of potential for advancement and innovation. This can only happen with the development of intelligent edge devices, new security and privacy technologies, and the optimisation of cloud and edge computing for 5G networks. We could anticipate even more substantial developments in the integration of cloud and edge computing as time goes on. These innovations will make it possible to introduce creative and original use cases in a variety of business situations.