Authors: Sneha Reddy
Abstract: Distributed computing has become a cornerstone of modern IT infrastructure, enabling organizations to process large volumes of data, enhance system scalability, and improve overall performance. This study explores the fundamental concepts, architectures, and technologies that underpin distributed computing systems, including cluster computing, grid computing, and cloud-based distributed environments. By distributing computational tasks across multiple interconnected nodes, these systems achieve higher efficiency, fault tolerance, and resource utilization compared to traditional centralized models. The paper examines key components such as data distribution, communication protocols, load balancing, and synchronization mechanisms that ensure seamless operation across distributed networks. It also highlights the integration of emerging technologies such as artificial intelligence, big data analytics, and edge computing, which further enhance the capabilities of distributed systems. Various application domains, including cloud services, scientific computing, financial systems, and real-time data processing, are discussed to demonstrate practical implementations. Despite its advantages, distributed computing presents challenges related to security, data consistency, latency, and system complexity. The study analyzes these challenges and proposes solutions such as advanced encryption, consensus algorithms, and efficient resource management techniques. The findings emphasize that distributed computing is essential for building scalable, resilient, and high-performance IT infrastructures in today’s digital era.
DOI: https://doi.org/10.5281/zenodo.20282190
