Advances in Distributed Storage Systems for Big Data

Abstract

The explosion of data in the last decade has led to significant advancements in distributed storage systems, which form the backbone of modern big data architectures. This paper reviews the evolution of distributed storage systems, focusing on their scalability, fault tolerance, data consistency, and latency optimizations. The paper covers various storage models, including HDFS, Cassandra, and Amazon S3, and evaluates their performance in the context of big data. Future trends in distributed storage systems, including cloud integration and data security, are also discussed.

Index Terms: Big Data, Distributed Storage Systems, Scalability, Fault Tolerance, HDFS, Cassandra, Amazon S3, Data Consistency