Next-Generation Big Data Processing with Nomadic Computing: A Distributed Edge Framework

Abstract

This is an abstract for your article that is 400 words long. Traditional big data processing frameworks, which primarily depend on centralized cloud infrastructure, encounter challenges such as bandwidth limitations, high latency, and privacy concerns when handling extensive distributed data streams. These paradigms face significant disruptions due to the rapid increase in Internet of Things (IoT) devices and the advent of edge computing. To enhance data processing workflows, this paper introduces an innovative distributed edge framework grounded in nomadic computing principles. Our proposed framework, EdgeNomad, utilizes intelligent resource orchestration and workload migration, employing a self-organizing architecture that automatically shifts computational tasks nearer to data sources while maintaining processing continuity. EdgeNomad enables efficient computation transfers between edge nodes, adaptive resource distribution, and robust fault tolerance through the application of distributed ledger technology and containerized microservices. A context-aware scheduling algorithm is incorporated into the framework to refine task placement and migration decisions by considering factors such as network conditions, device mobility patterns, and data locality. Through extensive testing on a real-world testbed featuring 500 edge nodes and 10,000 IoT devices, we demonstrate that EdgeNomad reduces end-to-end latency by as much as 68 percent in comparison to cloud-centric approaches and decreases backbone network bandwidth usage by 73 percent. By employing secure computation handoff protocols and processing sensitive data locally, the distributed architecture of the framework inherently enhances data privacy. Additionally, our results indicate a 42% improvement in energy efficiency and a 56% reduction in operational costs when juxtaposed with traditional big data processing systems. With its scalable, efficient, and privacy-preserving answer to the challenges of next-generation big data processing, the proposed nomadic computing strategy represents a revolutionary change in distributed edge computing. This research offers valuable insights for deploying large-scale IoT applications in sectors such as smart cities, industrial automation, and connected healthcare systems, while also paving the way for new research avenues in mobile edge computing, distributed systems, and autonomous resource management.