👉 Distributed Virtual Computing (DvC) is a paradigm that enables the execution of computational tasks across a network of geographically dispersed, heterogeneous computing resources, such as servers, cloud instances, and edge devices. Instead of relying on a single centralized computing power, DvC distributes the workload among multiple nodes, optimizing resource utilization and enhancing scalability. This approach leverages the collective processing power of these distributed resources to solve complex problems more efficiently, often providing lower latency and higher availability compared to traditional centralized computing models. By dynamically allocating tasks based on resource availability and performance, DvC facilitates cost-effective and flexible computing solutions, making it particularly valuable for applications requiring high computational throughput or real-time processing, such as big data analytics, machine learning, and IoT applications.
