Summary
Modern cloud services rely on expensive and power-hungry hardware, making efficient use of computing resources essential for controlling cost and energy consumption. This project focuses on maximizing how much useful work each server can perform without becoming overloaded or unresponsive. The central idea is to make cloud systems determine, within a few microseconds, how much work a server can safely accept, allocate resources to individual tasks accordingly, and then distribute incoming requests across servers based on these allocations. Today, resource allocation and load distribution are h
