Decentralized Optimization for Efficient Software Distribution in Large-Scale Networks

Abstract

Traditional centralized software distribution mechanisms often suffer from limited scalability and high bandwidth demands, especially in open-source environments. This paper proposes a decentralized peer-assisted distribution model that integrates adaptive caching and structured lookup mechanisms to improve retrieval speed and reduce server dependency. The proposed apt p2p system supports integrity verification, latency optimization, and DHT-based peer discovery, ensuring secure and efficient software dissemination. Experimental evaluation across real-world Debian networks indicates substantial reductions in central server load and improved download performance, confirming the model’s viability for large-scale deployments.