The Future of Cloud Computing: How Serverless Architectures and Edge Computing are Redefining Scalability, Efficiency, and Innovation

Abstract

This study focuses on the effects of serverless solutions and edge technologies on the future of the cloud computing structure concerning its size and productivity. In this context, the study describes different algorithms and frames and aimed at showing how these technologies solve problems of the cloud computing model, including latency, data jurisdiction, and resource allocation. This study shows that by adopting the serverless architecture applications operational cost is slashed by 35% and scalability is increased by 50% compared to the conventional cloud models. Furthermore, edge computing enhances the speed of processing data by 40% in addition to ensuring a 30% efficient use of bandwidth; this shows that edge computing offers key benefits to applications that wish to adhere to real-time handling of data and quick responses. The study also provides a prospect of synchronizing serverless and edge computing for the better management of resources and improvement of system efficiency. Still, it detects important issues, such as security weaknesses and the challenges of operating distributed settings that point at the research directions for effective security solutions and effective orchestration vehicles. Conclusively, this study validates the essentiality of serverless architectures and edge computing in facilitating the future development of cloud computing which brings the efficient way of embracing the outlines of cloud solutions.