Cognitive Operating Systems: Leveraging AI for Intelligent Resource ManagementStudent Name: Ansari suleman , Amaan Khan
Authors Miss.Aanya Pravin [1] V.K.K. Menon College, Bhandup (East)
Guide: Mrs.Vandana N. Chaurasia[2] Assistant Professor in V.K.K. Menon College, Bhandup (East)
Abstract :
The rapid growth of computing demands has exposed the limitations of traditional operating systems in handling dynamic workloads, energy efficiency, and security threats. Conventional OS architectures largely rely on static policies and reactive mechanisms, which often fail to meet the requirements of adaptive and autonomous environments. This paper introduces the concept of Cognitive Operating Systems (CogOS)—an intelligent OS paradigm that integrates Artificial Intelligence (AI) techniques into the core of system management. By leveraging machine learning, reinforcement learning, and predictive analytics, a cognitive OS can optimize process scheduling, memory allocation, and resource distribution in real time while proactively addressing security vulnerabilities and system faults. The proposed framework demonstrates how AI-driven decision-making enhances efficiency, improves throughput, enables selfhealing, and ensures intelligent resource management across diverse computing platforms, from cloud and edge to IoT ecosystems. This study highlights the architecture, potential applications, and challenges of cognitive operating systems, paving the way for the next generation of adaptive, secure, and intelligent computing environments.
Keywords: Cognitive Operating Systems (CogO) , Artificial Intelligence (AI) in OS,Intelligent Resource Management,Machine Learning , Reinforcement Learning,Predictive Analytics,Process Scheduling,Memory Allocation,Self-Healing Systems , Adaptive Computing , Secure Operating Systems , Cloud Computing , Edge Computing , Internet of Things (IoT)
