Optimizing Blockchain Scalability: A Distributed Computing Perspective

Abstract

Block chain technology has revolutionized the way we think about secure and decentralized systems, yet its scalability challenges remain a significant barrier to widespread adoption. High transaction latency, limited throughput, and resource inefficiencies hinder its ability to support large-scale applications. This paper explores block chain scalability through the lens of distributed computing, leveraging proven concepts such as sharding, parallelism, and load balancing to address these bottlenecks. We examine the interplay between Layer-1 and Layer-2 solutions, evaluate innovative consensus mechanisms, and highlight real-world implementations that demonstrate the potential of distributed computing techniques. Furthermore, we analyze the trade-offs between decentralization, scalability, and security, commonly known as the scalability trilemma. By integrating block chain with cutting-edge distributed systems principles, this work aims to provide a roadmap for optimizing block chain performance while maintaining its core ethos of decentralization and trustless ness. This perspective not only addresses immediate technical limitations but also opens avenues for future research and innovation in scalable block chain systems.