Computer, network, software, and hardware engineering with applications /

• Κύριος συγγραφέας: Schneidewind, Norman (Συγγραφέας)
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Piscataway, NJ : Hoboken, N.J. : IEEE Press ; John Wiley & Sons, [2012]
• Θέματα: Computer engineering.; Computer networks.; Software engineering.; Electrical engineering.; Engineering.; Computer science.; COMPUTERS > Data Transmission Systems > General.; COMPUTERS > Networking > Vendor Specific.; COMPUTERS > Programming > Open Source.; COMPUTERS > Software Development & Engineering > General.; COMPUTERS > Software Development & Engineering > Tools.; Electronic books.
• Φυσική περιγραφή: 1 online resource (x, 596 pages) : illustrations
• Βιβλιογραφία: Includes bibliographical references and index.
• ISBN: 9781118181287; 111818128X; 9781118181256; 1118181255; 9781280673559; 1280673559; 9781118181270; 1118181271
• DOI: 10.1002/9781118181287

There are many books on computers, networks, and software engineering but none that integrate the three with applications. Integration is important because, increasingly, software dominates the performance, reliability, maintainability, and availability of complex computer and systems. Books on software engineering typically portray software as if it exists in a vacuum with no relationship to the wider system. This is wrong because a system is more than software. It is comprised of people, organizations, processes, hardware, and software. All of these components must be considered in an integrative fashion when designing systems. On the other hand, books on computers and networks do not demonstrate a deep understanding of the intricacies of developing software. In this book you will learn, for example, how to quantitatively analyze the performance, reliability, maintainability, and availability of computers, networks, and software in relation to the total system. Furthermore, you will learn how to evaluate and mitigate the risk of deploying integrated systems. You will learn how to apply many models dealing with the optimization of systems. Numerous quantitative examples are provided to help you understand and interpret model results. This book can be used as a first year graduate course in computer, network, and software engineering; as an on-the-job reference for computer, network, and software engineers; and as a reference for these disciplines.