👉 Held computing refers to the process of storing and retrieving data in a distributed system, typically in memory (RAM), rather than on slower storage devices like hard drives or SSDs. This approach is crucial in cloud computing and large-scale distributed systems where data needs to be accessed quickly for efficient processing. In held computing, data is kept in memory as long as it's needed by the computation, reducing latency and improving performance. This is particularly beneficial for applications requiring real-time or near-real-time data access, such as databases, big data analytics, and high-performance computing tasks. By leveraging the speed of RAM, held computing enables faster data processing and more responsive system performance, making it a cornerstone of modern distributed computing architectures.
