A professional simulation environment for Operating System CPU scheduling, synchronization, and threading models. This project serves as a "glass-box" visualizer for complex kernel-level operations.

Effective resource allocation in cloud computing continues a critical challenge due to dynamic loads, stringent service-level expectations, and the need to balance execution time, energy, and cost.

I've been wanting to systematically study the SGLang Scheduler for a year now. Around November '24, some friends and I wrote the SGLang Code Walkthrough, but we stopped at KV Cache Management and ...

Managing unsignalized intersections is further developed in the context of automated driving with vehicle-road coordination. In this context, the virtual platoon of lining vehicles into a ...

Abstract: The rise of AI solutions has driven the emergence of AI as a Service (AIaaS), offering cost-effective and scalable solutions by outsourcing AI functionalities to specialized providers.

intervals. Each interrupt causes a context switch, so overhead increases with a larger number of interrupts. An argument for a small time quantum: Response time. A large time quantum will reduce the ...

How do high job size variability and heavy-tailed workloads affect the choice of a scheduling policy? How should one trade off energy and delay in designing a computer system? If 12 servers are needed ...

Whenever the CPU becomes idle, it is the job of the CPU Scheduler to select another process from the ready queue to run next. The process going from the ready queue to the run state is not the same ...

An implementation of various CPU scheduling algorithms in C++. The algorithms included are First Come First Serve (FCFS), Round Robin (RR), Shortest Process Next (SPN), Shortest Remaining Time (SRT), ...