Distributed Data Aggregation in Serverless Architectures

The rapid growth of cloud computing has paved the way for the adoption of serverless architectures, which eliminate the need for developers to manage servers, thus improving scalability, cost-efficiency, and operational agility. One of the critical challenges in serverless computing is efficiently aggregating data across multiple distributed nodes and functions, especially in real-time data processing applications such as IoT, streaming analytics, and large-scale distributed systems. This paper explores the techniques and challenges related to distributed data aggregation in serverless architectures. In addition it examines the fundamentals of serverless computing, reviews existing data aggregation methods, and analyzes their applicability to serverless environments.