👉 Altered computing refers to the shift from traditional, centralized computing models to more distributed, decentralized, and flexible systems. In conventional computing, data and processing are concentrated in powerful servers managed by a single entity, often leading to bottlenecks and high energy consumption. Altered computing, however, leverages technologies like cloud computing, edge computing, and distributed networks to spread computational tasks across multiple devices and locations. This approach enhances scalability, reduces latency, improves fault tolerance, and optimizes resource utilization by dynamically allocating resources based on demand. Additionally, it supports new applications such as the Internet of Things (IoT), where numerous devices need to process data locally or in close proximity to the source, thereby reducing the load on central servers and improving overall system efficiency.
