Overview
Load share systems and distributed computing are two approaches to manage workload and improve efficiency, but they differ in their architecture, scalability, and application, with companies like Google, Amazon, and Microsoft using distributed computing, while load share systems are used in applications like Netflix, Spotify, and Dropbox, with experts like Jeff Dean, Andrew Ng, and Fei-Fei Li discussing the benefits of distributed computing, and researchers like Leslie Lamport, Butler Lampson, and David Patterson exploring the potential of load share systems