👉 Accumulated Computing (AC) is a computational paradigm that focuses on the efficient and scalable processing of large-scale, complex data sets using distributed systems. It emphasizes the use of parallel and distributed computing resources to handle vast amounts of data, often in real-time or near-real-time, by breaking down tasks into smaller, manageable units that can be processed concurrently across multiple nodes. This approach leverages cloud computing, big data technologies, and advanced algorithms to optimize performance, reduce latency, and enhance resource utilization. By adopting AC principles, organizations can address the challenges of big data analytics, machine learning, and real-time decision-making, enabling them to extract valuable insights and drive innovation in various industries.
