A Heterogeneous Cluster Computing Framework for Modern Distributed Systems

This article presents a distributed computing framework built specifically for heterogeneous environments where compute nodes vary across hardware type, processing capability, network conditions, and workload specialization. Through detailed architecture patterns, orchestration strategies, streaming job systems, cryptographic security models, AI training pipelines, and intelligent scheduling algorithms, it argues that modern distributed systems must evolve beyond the homogeneous assumptions embe