Tudor-Cristian Sîngerean

Abstract

Modern operating systems manage a varied set of processes, demanding sophisticated tools for supervision, management, and optimization to ensure system stability and performance. This paper describes the structure and theoretical foundations of a complete process management and performance optimization system using the functions of the Windows Application Programming Interface.

The system presented here is meant to provide detailed information on process behavior, resource usage (CPU, memory, I/O), and inter-process relationships, with the ability for dynamic parameter-informed enhancement through experiential insight.

Key Windows APIs for process enumeration and resource querying (including Performance Data Helper - PDH), prioritization, and exploring affinities such as alteration, memory resource management, and inter-process communication, form a fundamental part of the system architecture.

While several existing tools offer resource insights (e.g., Task Manager, Process Hacker), they often lack extensibility, dynamic rule-based controls, and integrated heuristic engines. Our system addresses this gap through a multi-layered, API-centric architecture that emphasizes process behavior modeling and real-time optimization.