Description : IntroductionComponents of system software, Language processing activities, Fundamentals of language processing, Development tools.AssemblersStructure of an assembler, Design of two pass assembler, Single pass assembler, Cross assembler.Macro ProcessorsMacro definition and call, Macro expansion, Nested macro calls, Advanced macro facilities, Design of a macro-processor, Case study of MASM.Linkers and LoadersLoader schemes: Compile and go, General loader scheme, Absolute loaders, subroutine linkages, relocating loaders, direct linking loader, dynamic linking loader, overlay structure, Design of an absolute loader, Case study of MS-DOS linker and debug.Dynamic LinkingDynamic link libraries-their need, Conventional dynamic linking libraries, The class library, Dynamic linking, DLL s, Use of call back functions, Dynamic linking with and without import.Compilers and InterpretersOverview of compilation process, Concepts of pass, Phases, front-end and back-end, Concepts of bootstrap compiler, cross compiler, incremental compiler and compiler- compiler (Only definitions), Interpreters, comparison of compilers and interpreters.Lexical Analysis and ParsingWhy and what is lexical analysis, design issues, Introduction to parsing, concept of top-down recursive-descendent parsers.Operating SystemsEvolution of OS, Functions of an OS, Batch processing systems, Multi-programming systems, Time sharing systems, Multitasking systems, Real time operating systems, OS structure, System calls, Process, Process control and Process Scheduling (Job Scheduling, Scheduling criteria, Scheduling algorithms).Memory ManagementContiguous and non-contiguous, Swapping, Paging, Segmentation and demand Paging, Virtual Memory, management of virtual memory: Allocation, fetch and replacement.I/O ManagementI/O programming, I/O organization, I/O scheduling algorithms, I/O buffering.File ManagementConcept, Access methods, Directory structure, Protection, File System implementation, Directory implementation, Allocation methods, Free Space management, efficiency and performance.
Description : With this comprehensive text, Solaris practitioners will find all the information they need as they face and overcome significant challenges of their everyday work. Real-world case studies, poignant examples, and illustrative diagrams are rolled into this thorough reference.
Description : bull; Learn UNIX essentials with a concentration on communication, concurrency, and multithreading techniques bull; Full of ideas on how to design and implement good software along with unique projects throughout bull; Excellent companion to Stevens' Advanced UNIX System Programming
Description : Systems Programming: Designing and Developing Distributed Applications explains how the development of distributed applications depends on a foundational understanding of the relationship among operating systems, networking, distributed systems, and programming. Uniquely organized around four viewpoints (process, communication, resource, and architecture), the fundamental and essential characteristics of distributed systems are explored in ways which cut across the various traditional subject area boundaries. The structures, configurations and behaviours of distributed systems are all examined, allowing readers to explore concepts from different perspectives, and to understand systems in depth, both from the component level and holistically. Explains key ideas from the ground up, in a self-contained style, with material carefully sequenced to make it easy to absorb and follow. Features a detailed case study that is designed to serve as a common point of reference and to provide continuity across the different technical chapters. Includes a ‘putting it all together’ chapter that looks at interesting distributed systems applications across their entire life-cycle from requirements analysis and design specifications to fully working applications with full source code. Ancillary materials include problems and solutions, programming exercises, simulation experiments, and a wide range of fully working sample applications with complete source code developed in C++, C# and Java. Special editions of the author’s established ‘workbenches’ teaching and learning tools suite are included. These tools have been specifically designed to facilitate practical experimentation and simulation of complex and dynamic aspects of systems.
Description : Covering all the essential components of Unix/Linux, including process management, concurrent programming, timer and time service, file systems and network programming, this textbook emphasizes programming practice in the Unix/Linux environment. Systems Programming in Unix/Linux is intended as a textbook for systems programming courses in technically-oriented Computer Science/Engineering curricula that emphasize both theory and programming practice. The book contains many detailed working example programs with complete source code. It is also suitable for self-study by advanced programmers and computer enthusiasts. Systems programming is an indispensable part of Computer Science/Engineering education. After taking an introductory programming course, this book is meant to further knowledge by detailing how dynamic data structures are used in practice, using programming exercises and programming projects on such topics as C structures, pointers, link lists and trees. This book provides a wide range of knowledge about computer systemsoftware and advanced programming skills, allowing readers to interface with operatingsystem kernel, make efficient use of system resources and develop application software.It also prepares readers with the needed background to pursue advanced studies inComputer Science/Engineering, such as operating systems, embedded systems, databasesystems, data mining, artificial intelligence, computer networks, network security,distributed and parallel computing.
Description : Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. is an old ever lasting research area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with hard problems by evolving creative and competitive solutions. Systems Programming is generally strewn with such hard problems. This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.
Description : Access the power of bare-metal systems programming with Scala Native, an ahead-of-time Scala compiler. Without the baggage of legacy frameworks and virtual machines, Scala Native lets you re-imagine how your programs interact with your operating system. Compile Scala code down to native machine instructions; seamlessly invoke operating system APIs for low-level networking and IO; control pointers, arrays, and other memory management techniques for extreme performance; and enjoy instant start-up times. Skip the JVM and improve your code performance by getting close to the metal. Developers generally build systems on top of the work of those who came before, accumulating layer upon layer of abstraction. Scala Native provides a rare opportunity to remove layers. Without the JVM, Scala Native uses POSIX and ANSI C APIs to build concise, expressive programs that run unusually close to bare metal. Scala Native compiles Scala code down to native machine instructions instead of JVM bytecode. It starts up fast, without the sluggish warm-up phase that's common for just-in-time compilers. Scala Native programs can seamlessly invoke operating system APIs for low-level networking and IO. And Scala Native lets you control pointers, arrays, and other memory layout types for extreme performance. Write practical, bare-metal code with Scala Native, step by step. Understand the foundations of systems programming, including pointers, arrays, strings, and memory management. Use the UNIX socket API to write network client and server programs without the sort of frameworks higher-level languages rely on. Put all the pieces together to design and implement a modern, asynchronous microservice-style HTTP framework from scratch. Take advantage of Scala Native's clean, modern syntax to write lean, high-performance code without the JVM. What You Need: A modern Windows, Mac OS, or Linux system capable of running Docker. All code examples in the book are designed to run on a portable Docker-based build environment that runs anywhere. If you don't have Docker yet, see the Appendix for instructions on how to get it.