This book develops a common understanding between the client and the provider in each of the four stages of strategic outsourcing. These stages range from discovery, where the parties envision their future collaboration; planning, where they lay the ground work for the contract and the project; building, where they effectively carry out the work; and lastly to running, where they orchestrate the relationship on a daily basis to ensure that the new, enlarged company achieves the results sought. In a simple yet direct style, it highlights the dos and don´ts the parties should bear in mind at each stage of the process and combines both the client´s and the provider´s perspectives by comparing their respective involvement at each stage of the process and considering, equally, their obligations in establishing a balanced relationship. The book is primarily intended for those in the private sector with experience of dealing with complex outsourcing situations and who are looking for the small or bigger differentiators that will support their decisions and actions. The target audiences include, on the client side: CCOs, CIOs, lawyers, procurement managers, outsourcing consultants and IT Service managers and, on the provider side: account managers, bid managers, outsourcing project managers, operation managers and service managers. However, it is also useful for anybody involved in outsourcing who is seeking to develop a global understanding of the main processes and roles upstream and downstream in the chain.
For courses in Computer Science and Programming Computer systems: A Programmer?s Perspective explains the underlying elements common among all computer systems and how they affect general application performance. Written from the programmer?s perspective, this book strives to teach students how understanding basic elements of computer systems and executing real practice can lead them to create better programs. Spanning across computer science themes such as hardware architecture, the operating system, and systems software, the Third Edition serves as a comprehensive introduction to programming. This book strives to create programmers who understand all elements of computer systems and will be able to engage in any application of the field--from fixing faulty software, to writing more capable programs, to avoiding common flaws. It lays the groundwork for students to delve into more intensive topics such as computer architecture, embedded systems, and cybersecurity. This book focuses on systems that execute an x86-64 machine code, and recommends that students have access to a Linux system for this course. Students should have basic familiarity with C or C++. MasteringEngineering ® not included. Students, if MasteringEngineering is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MasteringEngineering should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MasteringEngineering is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts. Features + Benefits This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. Computer Systems: A Programmer?s Perspective uses the following features to facilitate learning: NEW! The book now exclusively bases its presentation on x86-64 A carefully planned 12 chapter layout that covers all of the core topics of computer programming Chapter 1 uses a simple ?hello world? program to introduce the major concepts and themes of computer programming. Chapter 2 dives into the topic of computer arithmetic, considering how numbers are represented in computer programs and how they affect value coding. The chapter places a special emphasis on the properties of unsigned and two?s-compliment number representations. It gives students necessary insight into arithmetic from the programmers perspective and why it?s so important. Chapter 3 teaches students how to read the x86-64 code generated by a C compiler, covering the basic instruction patterns for different control constructs, implementation procedures, and the allocation of different data structures. This chapter also discusses the implementation of integer and floating point arithmetic and takes a machine-level view of programs to understand certain code vulnerabilities. Chapter 4 introduces students to basic combinational and sequential logic elements and shows how they can be used in a simplified subset of the x86-64 instruction set called Y86-64. It starts with a single-cycle datapath and moves onto a discussion of pipelining. Chapter 5 gives students techniques for improving code performance with transformations that reduce work and enhance instruction-level parallelism. Chapter 6 covers different types of RAM and ROM memory systems, describing their hierarchical arrangement. The chapter makes the abstract concept tangible by using the analogy of a ?memory mountain? with ridges of temporal locality and slopes of spatial locality. Students learn that improving temporal and spatial locality improves performance. Chapter 7 discusses both static and dynamic linking, areas included in most systems text where programmers make their most confusing errors. Chapter 8 explains exceptional control flow at all levels of the system, from simple hardware interrupts to nonlocal jumps in C that break the stack discipline. This chapter introduces the fundamental idea of a process by teaching students how it works and how it is created and manipulated from application programs. Chapter 9 shows students key characteristics of the virtual memory system and how it works, addressing issues such
Daryoush Daniel Vaziri illustrates that the use of mixed methods designs may support the induction of more subtle and complete theories about older adults´ use of technologies for the support of active and healthy aging. The results show that older adults´ social contexts and environments considerably affect their perspectives, practices and attitudes with respect to health, quality of life, well-being and technology use for active and healthy aging support. Results were collected with older adults aged 60+ as well as relevant secondary stakeholders like caregivers, policy makers or health insurance companies.
Quantum physics has some spectacular applications in computer science, and this book is a concise introduction to quantum computation. It develops the basic elements of this new branch of computational theory without assuming any background in physics, and so is ideal for computer scientists who know nothing about quantum theory. It introduces quantum theory from a computer-science perspective before moving to the major applications. It will also be of interest to physicists who want to learn the theory of quantum computation, and philosophers of science interested in quantum foundational issues.
Designing User Experience presents a comprehensive introduction to the practical issue of creating interactive systems, services and products from a human-centred perspective. It develops the principles and methods of human-computer interaction (HCI) and Interaction Design (ID) to deal with the design of twenty-first-century computing and the demands for improved user experience (UX). It brings together the key theoretical foundations of human experiences when people interact with and through technologies. It explores UX in a wide variety of environments and contexts.
This book systematically introduces Point-of-interest (POI) recommendations in Location-based Social Networks (LBSNs). Starting with a review of the advances in this area, the book then analyzes user mobility in LBSNs from geographical and temporal perspectives. Further, it demonstrates how to build a state-of-the-art POI recommendation system by incorporating the user behavior analysis. Lastly, the book discusses future research directions in this area. This book is intended for professionals involved in POI recommendation and graduate students working on problems related to location-based services. It is assumed that readers have a basic knowledge of mathematics, as well as some background in recommendation systems.
Understand the nuts and bolts of Blockchain, its different flavors with simple use cases, and cryptographic fundamentals. You will also learn some design considerations that can help you build custom solutions. Beginning Blockchain is a beginner´s guide to understanding the core concepts of Blockchain from a technical perspective. By learning the design constructs of different types of Blockchain, you will get a better understanding of building the best solution for specific use cases. The book covers the technical aspects of Blockchain technologies, cryptography, cryptocurrencies, and distributed consensus mechanisms. You will learn how these systems work and how to engineer them to design next-gen business solutions. What You´ll Learn Get a detailed look at how cryptocurrencies work Understand the core technical components of Blockchain Build a secured Blockchain solution from cryptographic primitives Discover how to use different Blockchain platforms and their suitable use cases Know the current development status, scope, limitations, and future of Blockchain Who This Book Is For Software developers and architects, computer science graduates, entrepreneurs, and anyone wishing to dive deeper into blockchain fundamentals. A basic understanding of computer science, data structure, and algorithms is helpful.
Quality of Protection: Security Measurements and Metrics is an edited volume based on the Quality of Protection Workshop in Milano, Italy (September 2005). This volume discusses how security research can progress towards quality of protection in security comparable to quality of service in networking and software measurements, and metrics in empirical software engineering. Information security in the business setting has matured in the last few decades. Standards such as IS017799, the Common Criteria (ISO15408), and a number of industry certifications and risk analysis methodologies have raised the bar for good security solutions from a business perspective. Designed for a professional audience composed of researchers and practitioners in industry, Quality of Protection: Security Measurements and Metrics is also suitable for advanced-level students in computer science. Information security in the business setting has matured in the last few decades. Standards, such as IS017799, the Common Criteria s, and a number of industry and academic certifications and risk analysis methodologies, have raised the bar on what is considered good security solution, from a business perspective. Yet, the evaluation of security solutions has largely a qualitative flavor. Notions such as Security Metrics, Quality of Protection (QoP) or Protection Level Agreement (PLA) have only surfaced in the literature. Quality of Protection: Security Measurements and Metrics is an edited volume based on the Quality of Protection Workshop at ESORICS 2005, the flagship European Symposium on Research in Computer Security. This book discusses how security research can progress towards a notion of quality of protection in security, comparable to the notion of quality of service in networking and software measurements and metrics, in empirical software engineering. Quality of Protection: Security Measurements and Metrics is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science and telecommunications.
´´Probabilistic Reasoning in Intelligent Systems´´ is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic. The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information. ´´Probabilistic Reasoning in Intelligent Systems´´ will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI,operations research, or applied probability.
Collaboration among individuals - from users to developers - is central to modern software engineering. It takes many forms: joint activity to solve common problems, negotiation to resolve conflicts, creation of shared definitions, and both social and technical perspectives impacting all software development activity. The difficulties of collaboration are also well documented. The grand challenge is not only to ensure that developers in a team deliver effectively as individuals, but that the whole team delivers more than just the sum of its parts. The editors of this book have assembled an impressive selection of authors, who have contributed to an authoritative body of work tackling a wide range of issues in the field of collaborative software engineering. The resulting volume is divided into four parts, preceded by a general editorial chapter providing a more detailed review of the domain of collaborative software engineering. Part 1 is on ´´Characterizing Collaborative Software Engineering´´, Part 2 examines various ´´Tools and Techniques´´, Part 3 addresses organizational issues, and finally Part 4 contains four examples of ´´Emerging Issues in Collaborative Software Engineering´´. As a result, this book delivers a comprehensive state-of-the-art overview and empirical results for researchers in academia and industry in areas like software process management, empirical software engineering, and global software development. Practitioners working in this area will also appreciate the detailed descriptions and reports which can often be used as guidelines to improve their daily work.