Operating System is a comprehensive textbook designed to provide a clear and systematic understanding of the fundamental concepts, principles, and applications of operating systems. It explains how operating systems act as an interface between users, application programs, and computer hardware while managing essential resources such as the processor, memory, files, and input/output devices.
The book covers five major areas: Operating System and Process, CPU Scheduling and Deadlocks, Process Management and Synchronization with Interprocess Communication Mechanisms, Memory Management and Virtual Memory, and File Systems and Disk Management. Important topics include batch processing, multiprogramming, time-sharing, process management, threads, CPU scheduling algorithms, deadlock prevention and avoidance, semaphores, synchronization, interprocess communication, paging, segmentation, demand paging, page replacement algorithms, file allocation, disk scheduling, and storage reliability.
The concepts are presented through structured explanations, definitions, examples, tables, and illustrations to support effective learning and understanding. Complex operating-system mechanisms are explained step by step, helping readers connect theoretical principles with practical computing environments.
This book is primarily intended for undergraduate and postgraduate students in computer science, information technology, engineering, and related disciplines. It is also a valuable resource for faculty members, educators, and readers seeking to strengthen their knowledge of operating systems.
By combining fundamental concepts with practical perspectives, Operating System aims to develop analytical thinking, problem-solving abilities, and a strong understanding of computer-system resource management. It provides a useful foundation for advanced studies in computer architecture, systems programming, distributed computing, virtualization, cloud computing, and modern computing technologies.
About the Authors’
Mrs. CH. Veena is a dedicated professional in the field of CSE(AI&ML).She did her B.Tech from Jawaharlal Nehru Technological University in 2010 and M.Tech in 2014. She is currently pursuing her Ph.D. in Computer Science and Engineering at Jawaharlal Nehru Technological University. Presently she is working as an Assistant Professor in the Department of CSE(AI&ML), G. Narayanamma Institute of Technology and Science, Hyderabad, India. Her research interests are Cyber security, Machine Learning and Artificial Intelligence. She has authored various Scopus indexed research papers, and she also has credit of 5 patents. She has 12 years of teaching experience, and she has taught a wide variety of subjects like Network Security, Database management systems, Software Engineering, Cyber security, Computer Networks, OS etc.
Mrs. Y. Rajyalaxmi is a dedicated professional in the field of CSE(Data Science). She did her M.Tech from Jawaharlal Nehru Technological University in 2011. She is currently pursuing her Ph.D. in Computer Science and Engineering at KL University. Presently she is working as an Assistant Professor in the Department of CSE(Data Science), G.Narayanamma Institute of Technology and Science, Hyderabad, India. Her research interests are Deep Learning, Machine Learning and Artificial Intelligence. She has authored various SCI and Scopus indexed research papers, and she also has credit of 4patents and 1 grant. She has 12 years of teaching experience, and she has taught a wide variety of subjects like Operating Systems, Database management systems, Data Structures, Object Oriented through Java, Python programming, etc.
Mrs. VijayalaxmiBindla is currently working in the Department of CSE (AI&ML) at G. Narayanamma Institute of Technology and Science. With 6 years of teaching experience. She has two research papers published in international journals, one paper got indexed in Scopus and she has published 2 patent. An extensive expertise in subjects that have been taught such as SE, SPPM, CLOUD COMPUTING, DBMS, Data Handling and Visualization, Computer Networks.
Mrs. T. Mallika Devi is a dedicated professional in the field of CSE(Data Science)).She did her B. Tech from Jawaharlal Nehru Technological University in 2012 and M.Tech in 2014. She is currently pursuing her Ph.D. in Computer Science and Engineering at KL University Hyderabad. Presently she is working as an Assistant Professor in the Department of CSE (Data Science)), G. Narayanamma Institute of Technology and Science, Hyderabad, India. Her research interests are Machine Learning and Artificial Intelligence and Deep Learning with Image Processing. She has authored various Scopus indexed research papers, and she also has credit of 6 patents. She has 8 years of teaching experience, and she has taught a wide variety of subjects like, Database management systems, Machine Learning, Data Science, Computer Networks, web and social media analytics etc.
