Operating Systems deals with the fundamental concepts and principles that govern the behavior of operating systems. Many issues regarding the structure of operating systems, including the problems of managing processes, processors, and memory, are examined. Various aspects of operating systems are also discussed, from input-output and files to security, protection, reliability, design methods, performance evaluation, and implementation methods. Comprised of 10 chapters, this volume begins with an overview of what constitutes an operating system, followed by a discussion on the definition and properties of the basic unit of computation within an operating system, the process. The reader is then introduced to processor allocation schemes as well as various classes of scheduling disciplines and their implementations; memory management functions; and virtual memory. Subsequent chapters focus on input-output and files; protection in an operating system; and design and implementation of an operating system. The book concludes by describing two operating systems to help the reader visualize how the major components of a system interact in a complete system: the Venus Operating System developed by MITRE Corp. and the SUE nucleus, designed at the University of Toronto. This monograph is intended for fourth-year undergraduates and first-year graduate students, as well as lecturers who plans to institute a course on operating systems.

An operating system is probably the most important part of the body of soft ware which goes with any modern computer system. I ts importance is reflected in the large amount of manpower usually invested in its construction, and in the mystique by which it is often surrounded. To the non-expert the design and construction of operating systems has often appeared an activity impenetrable to those who do not practise it. I hope this book will go some way toward dispelling the mystique, and encourage a greater general understanding of the principles on which operating systems are constructed. The material in the book is based on a course of lectures I have given for the past few years to undergraduate students of computer science. The book is therefore a suitable introduction to operating systems for students who have a basic grounding in computer science, or for people who have worked with computers for some time. Ideally the reader should have a knowledge of prorramming and be familiar with general machine architecture, common data structures such as lists and trees, and the functions of system software such as compilers, loaders, and editors. I t will also be helpful if he has had some experience of using a large operating system, seeing it, as it were, from the out side.

A revised and updated edition of this student introductory textbook, it has new diagrams and illustrations, with updated hardware examples. A new concluding chapter on graphical user interfaces is added. There is also more emphasis on client-server systems.

This book constitutes the refereed proceedings of the 17th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2016, held in St. Petersburg, FL, USA, in January 2016. The 24 full papers together with 2 invited talks and 1 abstract presented were carefully reviewed and selected from 67 submissions. VMCAI provides topics including: program verification, model checking, abstractinterpretation and abstract domains, program synthesis, static analysis,type systems, deductive methods, program certification, debugging techniques,program transformation, optimization, hybrid and cyber-physical systems.

This work is building on results from the book named “A Pipelined Multi-core MIPS Machine: Hardware Implementation and Correctness” by M. Kovalev, S.M. Müller, and W.J. Paul, published as LNCS 9000 in 2014. It presents, at the gate level, construction and correctness proof of a multi-core machine with pipelined processors and extensive operating system support with the following features: • MIPS instruction set architecture (ISA) for application and for system programming • cache coherent memory system • store buffers in front of the data caches • interrupts and exceptions • memory management units (MMUs) • pipelined processors: the classical five-stage pipeline is extended by two pipeline stages for address translation • local interrupt controller (ICs) supporting inter-processor interrupts (IPIs) • I/O-interrupt controller and a disk

This book constitutes the proceedings of the 13th International Symposium on NASA Formal Methods, NFM 2021, held virtually in May 2021. The 21 full and 3 short papers presented in this volume were carefully reviewed and selected from 66 submissions. The papers aim to identify challenges and provide solutions to achieve assurance in mission-critical and safety-critical systems. Examples of such systems include advanced separation assurance algorithms for aircraft, next-generation air transportation, autonomous rendezvous and docking of spacecraft, on-board software for unmanned aerial systems (UAS), UAS traffic management, autonomous robots, and systems for fault detection, diagnosis, and prognostics.

In today's educational settings, infusing technology into educational practices is not optional. It is a necessity because of the changing expectations and needs of learners. In a fast-paced environment such as the medical profession, it is critical that future healthcare professionals have access to the most advanced training environments and resources. Optimizing Medical Education With Instructional Technology is an essential reference that reports on technology-supported medical education. It introduces the best practices in 21st century learning approaches. This book, in addition to looking at medical education through the lens of instructional technologies, features research on topics such as the ethics of online education, mentoring research, and technology in the clinical setting. This book is designed for medical educators, instructional designers, researchers, practitioners, and academicians.

Sir Tony Hoare has had an enormous influence on computer science, from the Quicksort algorithm to the science of software development, concurrency and program verification. His contributions have been widely recognised: He was awarded the ACM’s Turing Award in 1980, the Kyoto Prize from the Inamori Foundation in 2000, and was knighted for “services to education and computer science” by Queen Elizabeth II of England in 2000. This book presents the essence of his various works—the quest for effective abstractions—both in his own words as well as chapters written by leading experts in the field, including many of his research collaborators. In addition, this volume contains biographical material, his Turing award lecture, the transcript of an interview and some of his seminal papers. Hoare’s foundational paper “An Axiomatic Basis for Computer Programming”, presented his approach, commonly known as Hoare Logic, for proving the correctness of programs by using logical assertions. Hoare Logic and subsequent developments have formed the basis of a wide variety of software verification efforts. Hoare was instrumental in proposing the Verified Software Initiative, a cooperative international project directed at the scientific challenges of large-scale software verification, encompassing theories, tools and experiments. Tony Hoare’s contributions to the theory and practice of concurrent software systems are equally impressive. The process algebra called Communicating Sequential Processes (CSP) has been one of the fundamental paradigms, both as a mathematical theory to reason about concurrent computation as well as the basis for the programming language occam. CSP served as a framework for exploring several ideas in denotational semantics such as powerdomains, as well as notions of abstraction and refinement. It is the basis for a series of industrial-strength tools which have been employed in a wide range of applications. This book also presents Hoare’s work in the last few decades. These works include a rigorous approach to specifications in software engineering practice, including procedural and data abstractions, data refinement, and a modular theory of designs. More recently, he has worked with collaborators to develop Unifying Theories of Programming (UTP). Their goal is to identify the common algebraic theories that lie at the core of sequential, concurrent, reactive and cyber-physical computations.

Engineering Information Security covers all aspects of information security using a systematic engineering approach and focuses on the viewpoint of how to control access to information. Includes a discussion about protecting storage of private keys, SCADA, Cloud, Sensor, and Ad Hoc networks Covers internal operations security processes of monitors, review exceptions, and plan remediation Over 15 new sections Instructor resources such as lecture slides, assignments, quizzes, and a set of questions organized as a final exam If you are an instructor and adopted this book for your course, please email ieeeproposals@wiley.com to get access to the additional instructor materials for this book.

Most aspects of our private and social lives—our safety, the integrity of the financial system, the functioning of utilities and other services, and national security—now depend on computing. But how can we know that this computing is trustworthy? In Mechanizing Proof, Donald MacKenzie addresses this key issue by investigating the interrelations of computing, risk, and mathematical proof over the last half century from the perspectives of history and sociology. His discussion draws on the technical literature of computer science and artificial intelligence and on extensive interviews with participants. MacKenzie argues that our culture now contains two ideals of proof: proof as traditionally conducted by human mathematicians, and formal, mechanized proof. He describes the systems constructed by those committed to the latter ideal and the many questions those systems raise about the nature of proof. He looks at the primary social influence on the development of automated proof—the need to predict the behavior of the computer systems upon which human life and security depend—and explores the involvement of powerful organizations such as the National Security Agency. He concludes that in mechanizing proof, and in pursuing dependable computer systems, we do not obviate the need for trust in our collective human judgment.