Using Android as a reference, this book teaches the development of mobile apps designed to be responsive, trustworthy and robust, and optimized for maintainability. As the share of mission-critical mobile apps continues to increase in the ever-expanding mobile app ecosystem, it has become imperative that processes and procedures to assure their reliance are developed and included in the software life cycle at opportune times. Memory, CPU, battery life and screen size limitations of smartphones coupled with volatility associated with mobile environments underlines that the quality assurance strategies that proved to be successful for desktop applications may no longer be effective in mobile apps. To that effect, this book lays a foundation upon which quality assurance processes and procedures for mobile apps could be devised. This foundation is composed of analytical models, experimental test-beds and software solutions. Analytical models proposed in the literature to predict software quality are studied and adapted for mobile apps. The efficacy of these analytical models in prejudging the operations of mobile apps under design and development is evaluated. A comprehensive test suite is presented that empirically assesses a mobile app's compliance to its quality expectations. Test procedures to measure quality attributes such as maintainability, usability, performance, scalability, reliability, availability and security, are detailed. Utilization of test tools provided in Android Studio as well as third-party vendors in constructing the corresponding test-beds is highlighted. An in-depth exploration of utilities, services and frameworks available on Android is conducted, and the results of their parametrization observed through experimentation to construct quality assurance solutions are presented. Experimental development of some example mobile apps is conducted to gauge adoption of process models and determine favorable opportunities for integrating the quality assurance processes and procedures in the mobile app life cycle. The role of automation in testing, integration, deployment and configuration management is demonstrated to offset cost overheads of integrating quality assurance process in the life cycle of mobile apps.

Efficient parallel solutions have been found to many problems. Some of them can be obtained automatically from sequential programs, using compilers. However, there is a large class of problems - irregular problems - that lack efficient solutions. IRREGULAR 94 - a workshop and summer school organized in Geneva - addressed the problems associated with the derivation of efficient solutions to irregular problems. This book, which is based on the workshop, draws on the contributions of outstanding scientists to present the state of the art in irregular problems, covering aspects ranging from scientific computing, discrete optimization, and automatic extraction of parallelism. Audience: This first book on parallel algorithms for irregular problems is of interest to advanced graduate students and researchers in parallel computer science.

In Symbolic Analysis for Parallelizing Compilers the author presents an excellent demonstration of the effectiveness of symbolic analysis in tackling important optimization problems, some of which inhibit loop parallelization. The framework that Haghighat presents has proved extremely successful in induction and wraparound variable analysis, strength reduction, dead code elimination and symbolic constant propagation. The approach can be applied to any program transformation or optimization problem that uses properties and value ranges of program names. Symbolic analysis can be used on any transformational system or optimization problem that relies on compile-time information about program variables. This covers the majority of, if not all optimization and parallelization techniques. The book makes a compelling case for the potential of symbolic analysis, applying it for the first time - and with remarkable results - to a number of classical optimization problems: loop scheduling, static timing or size analysis, and dependence analysis. It demonstrates how symbolic analysis can solve these problems faster and more accurately than existing hybrid techniques.

ITIL(R) 4 Direct, Plan and ImproveIf you've achieved your ITIL(R) 4 Foundation certificate, you're probably planning the next stage in your ITIL journey and which qualification to work towards. DPI provides essential knowledge and capabilities for service management professionals, supporting those involved in directing or planning based on strategy and continual improvement - a must-have skillset practitioners should seek beyond Foundation level. DPI is the only one of the ITIL 4 advanced level courses that leads to both Managing Professional (MP) and Strategic Leader (SL) status. The module is aimed at managers and aspiring managers at all levels, providing them with the practical skills needed to improve themselves and their organisation by way of effective strategic direction and delivering continual improvement. An excellent supplement to any training courseITIL(R) 4 Direct, Plan and Improve (DPI) - Your companion to the ITIL 4 Managing Professional and Strategic Leader DPI certification is a study guide designed to help students pass the ITIL(R) 4 Direct, Plan and Improve module. The majority of this book is based on the AXELOS ITIL(R) 4: Direct, Plan and Improve publication and the associated DPI Strategist syllabus. It provides students with the information they need to pass the DPI exam, and help them become a successful practitioner. Suitable for existing ITIL v3 experts, ITIL 4 Managing Professional (MP) students, ITSM (IT service management) practitioners who are adopting ITIL 4, approved training organisations, IT service managers, IT managers and those in IT support roles, the book covers: Key concepts: Scope, key principles and methods; The role of governance, risk and compliance; Continual improvement; Organisational change management; Measurement and reporting; Value streams and practices; and Exam preparation. A useful tool throughout your careerIn addition to being an essential study aid, the author - a seasoned ITSM professional - also provides additional guidance throughout the book which you can lean on once your training and exam are over. The book includes her own practical experience from which she gives advice and points to think about along the way so that you can refer back to this book for years to come - long after you've passed your exam. The essential link between your ITIL qualification and the real world - buy this book today!ITIL(R) is a registered trade mark of AXELOS Limited. All rights reserved. This book is an official AXELOS licensed product.

This book provides an introduction to digital storage for consumer electronics. It discusses the various types of digital storage, including emerging non-volatile solid-state storage technologies and their advantages and disadvantages. It discusses the best practices for selecting, integrating, and using storage devices for various applications. It explores the networking of devices into an overall organization that results in always-available home storage combined with digital storage in the cloud to create an infrastructure to support emerging consumer applications and the Internet of Things. It also looks at the role of digital storage devices in creating security and privacy in consumer products.

This second edition focuses on the thought process of digital design and implementation in the context of VLSI and system design. It covers the Verilog 2001 and Verilog 2005 RTL design styles, constructs and the optimization at the RTL and synthesis level. The book also covers the logic synthesis, low power, multiple clock domain design concepts and design performance improvement techniques. The book includes 250 design examples/illustrations and 100 exercise questions. This volume can be used as a core or supplementary text in undergraduate courses on logic design and as a text for professional and vocational coursework. In addition, it will be a hands-on professional reference and a self-study aid for hobbyists.

Welcome to 1M 2003, the eighth in a series of the premier international technical conference in this field. As IT management has become mission critical to the economies of the developed world, our technical program has grown in relevance, strength and quality. Over the next few years, leading IT organizations will gradually move from identifying infrastructure problems to providing business services via automated, intelligent management systems. To be successful, these future management systems must provide global scalability, for instance, to support Grid computing and large numbers of pervasive devices. In Grid environments, organizations can pool desktops and servers, dynamically creating a virtual environment with huge processing power, and new management challenges. As the number, type, and criticality of devices connected to the Internet grows, new innovative solutions are required to address this unprecedented scale and management complexity. The growing penetration of technologies, such as WLANs, introduces new management challenges, particularly for performance and security. Management systems must also support the management of business processes and their supporting technology infrastructure as integrated entities. They will need to significantly reduce the amount of adventitious, bootless data thrown at consoles, delivering instead a cogent view of the system state, while leaving the handling of lower level events to self-managed, multifarious systems and devices. There is a new emphasis on "autonomic" computing, building systems that can perform routine tasks without administrator intervention and take prescient actions to rapidly recover from potential software or hardware failures.

This book describes a comprehensive combination of methodologies that strongly enhance the modern Virtual Prototype (VP)-based verification flow for heterogeneous systems-on-chip (SOCs). In particular, the book combines verification and analysis aspects across various stages of the VP-based verification flow, providing a new perspective on verification by leveraging advanced techniques, like metamorphic testing, data flow testing, and information flow testing. In addition, the book puts a strong emphasis on advanced coverage-driven methodologies to verify the functional behavior of the SOC as well as ensure its security. Provides an extensive introduction to the modern VP-based verification flow for heterogeneous SOCs; Introduces a novel metamorphic testing technique for heterogeneous SOCs which does not require reference models; Includes automated advanced data flow coverage-driven methodologies tailored for SystemC/AMS-based VPs; Describes enhanced functional coverage-driven methodologies to verify various functional behaviors of RF amplifiers.

Based on the Lectures given during the Eurocourse on 'Computing with Parallel Architectures' held at the Joint Research Centre Ispra, Italy, September 10-14, 1990

It has been widely recognized that artificial intelligence computations offer large potential for distributed and parallel processing. Unfortunately, not much is known about designing parallel AI algorithms and efficient, easy-to-use parallel computer architectures for AI applications. The field of parallel computation and computers for AI is in its infancy, but some significant ideas have appeared and initial practical experience has become available. The purpose of this book has been to collect in one volume contributions from several leading researchers and pioneers of AI that represent a sample of these ideas and experiences. This sample does not include all schools of thought nor contributions from all leading researchers, but it covers a relatively wide variety of views and topics and in this sense can be helpful in assessing the state ofthe art. We hope that the book will serve, at least, as a pointer to more specialized literature and that it will stimulate interest in the area of parallel AI processing. It has been a great pleasure and a privilege to cooperate with all contributors to this volume. They have my warmest thanks and gratitude. Mrs. Birgitta Knapp has assisted me in the editorial task and demonstrated a great deal of skill and patience. Janusz S. Kowalik vii INTRODUCTION Artificial intelligence (AI) computer programs can be very time-consuming.

Prepare for Microsoft Exam AZ-801 and demonstrate your real-world mastery of configuring and managing Windows Server on-premises, hybrid, and Infrastructure as a Service (IaaS) platform workloads. Designed for professionals with Windows Server and Azure experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Windows Server Hybrid Administrator Associate level. Focus on the expertise measured by these objectives: Secure Windows Server on-premises and hybrid infrastructures Implement and manage Windows Server high availability Implement disaster recovery Migrate servers and workloads Monitor and troubleshoot Windows Server environments This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have significant experience with Windows Server operating systems About the Exam Exam AZ-801 focuses on knowledge needed to secure Windows Server operating systems, networking, and storage; secure hybrid Active Directory infrastructures; use Azure Services to identify and remediate Windows Server security issues; implement and manage Windows Server failover clusters and Storage Spaces Direct; manage Windows Server backup and recovery; use Azure Site Recovery to implement disaster recovery; protect VMs with Hyper-V replicas; migrate on-premises storage and services; move workloads and AD DS infrastructure to Windows Server 2022 from previous versions; migrate IIS workloads to Azure; use Windows Server tools and Azure services to monitor Windows Server; troubleshoot on-premises networking, hybrid networking, virtual machines in Azure, and Active Directory. About Microsoft Certification Passing this exam and Exam AZ-800 Administering Windows Server Hybrid Core Infrastructure fulfills your requirements for the Microsoft Certified: Windows Server Hybrid Administrator Associate credential. This demonstrates your expertise in configuring and managing Windows Server on-premises, hybrid, and IaaS platform workloads; integrating Windows Server environments with Azure services; managing and maintaining Windows Server IaaS workloads in Azure, and moving workloads to Azure. This certification supports your goals as an IT, cloud, identity/access, or information protection administrator; a network, security, or support engineer, and a technology manager. See full details at: microsoft.com/learn

For courses in Logic and Computer design. Understanding Logic and Computer Design for All Audiences Logic and Computer Design Fundamentals is a thoroughly up-to-date text that makes logic design, digital system design, and computer design available to students of all levels. The Fifth Edition brings this widely recognised source to modern standards by ensuring that all information is relevant and contemporary. The material focuses on industry trends and successfully bridges the gap between the much higher levels of abstraction students in the field must work with today than in the past. Broadly covering logic and computer design, Logic and Computer Design Fundamentals is a flexibly organised source material that allows instructors to tailor its use to a wide range of student audiences.

Peer-to-peer (P2P) technology, or peer computing, is a paradigm that is viewed as a potential technology for redesigning distributed architectures and, consequently, distributed processing. Yet the scale and dynamism that characterize P2P systems demand that we reexamine traditional distributed technologies. A paradigm shift that includes self-reorganization, adaptation and resilience is called for. On the other hand, the increased computational power of such networks opens up completely new applications, such as in digital content sharing, scientific computation, gaming, or collaborative work environments.

In this book, Vu, Lupu and Ooi present the technical challenges offered by P2P systems, and the means that have been proposed to address them. They provide a thorough and comprehensive review of recent advances on routing and discovery methods; load balancing and replication techniques; security, accountability and anonymity, as well as trust and reputation schemes; programming models and P2P systems and projects. Besides surveying existing methods and systems, they also compare and evaluate some of the more promising schemes.

The need for such a book is evident. It provides a single source for practitioners, researchers and students on the state of the art. For practitioners, this book explains best practice, guiding selection of appropriate techniques for each application. For researchers, this book provides a foundation for the development of new and more effective methods. For students, it is an overview of the wide range of advanced techniques for realizing effective P2P systems, and it can easily be used as a text for an advanced course on Peer-to-Peer Computing and Technologies, or as a companion text for courses on various subjects, such as distributed systems, and grid and cluster computing.

First of all, I would like to congratulate Gabriella Pasi and Gloria Bordogna for the work they accomplished in preparing this new book in the series "Study in Fuzziness and Soft Computing." "Recent Issues on the Management of Fuzziness in Databases" is undoubtedly a token of their long-lasting and active involvement in the area of Fuzzy Information Retrieval and Fuzzy Database Systems. This book is really welcome in the area of fuzzy databases where they are not numerous although the first works at the crossroads of fuzzy sets and databases were initiated about twenty years ago by L. Zadeh. Only five books have been published since 1995, when the first volume dedicated to fuzzy databases published in the series "Study in Fuzziness and Soft Computing" edited by J. Kacprzyk and myself appeared. Going beyond books strictly speaking, let us also mention the existence of review papers that are part of a couple of handbooks related to fuzzy sets published since 1998. The area known as fuzzy databases covers a bunch of topics among which: -flexible queries addressed to regular databases, -the extension of the notion of a functional dependency, -data mining and fuzzy summarization, -querying databases containing imperfect attribute values represented thanks to possibility distributions.

Securing Cloud Services - A pragmatic guide gives an overview of security architecture processes and explains how they may be used to derive an appropriate set of security controls to manage the risks associated with working in the Cloud. Manage the risks associated with Cloud computing - buy this book today!

It has become clear in recent years from such major forums as the various international conferences on flexible manufacruring systems (FMSs) that the computer-controlled and -integrated "factory of the furure" is now being considered as a commercially viable and technically achievable goal. To date, most attention has been given to the design, development, and evalu ation of flexible machining systems. Now, with the essential support of increasing numbers of industrial examples, the general concepts, technical requirements, and cost-effectiveness of responsive, computer-integrated, flexible machining systems are fast becoming established knowledge. There is, of course, much still to be done in the development of modular com puter hardware and software, and the scope for cost-effective developments in pro gramming systems, workpiece handling, and quality control will ensure that contin uing development will occur over the next decade. However, international attention is now increasingly rurning toward the flexible computer control of the assembly process as the next logical step in progressive factory automation. It is here at this very early stage that Tony Owen has bravely set out to encompass the future field of flexible assembly systems (FASs) in his own distinctive, wide-ranging style."

This book comprehensively covers the state-of-the-art security applications of machine learning techniques. The first part explains the emerging solutions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient PUF architectures. The second discusses the use of machine learning to mitigate the risks of security attacks on cyber-physical systems, with a particular focus on power plants. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities.

Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently. Soft Computing for Knowledge Discovery provides a self-contained and systematic exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft computing - fuzzy set theory, fuzzy logic, evolutionary computing, and various theories of probability (e.g. naive Bayes and Bayesian networks, Dempster-Shafer theory, mass assignment theory, and others). In addition to describing many state-of-the-art soft computing approaches to knowledge discovery, the author introduces Cartesian granule features and their corresponding learning algorithms as an intuitive approach to knowledge discovery. This new approach embraces the synergistic spirit of soft computing and exploits uncertainty in order to achieve tractability, transparency and generalization. Parallels are drawn between this approach and other well known approaches (such as naive Bayes and decision trees) leading to equivalences under certain conditions. The approaches presented are further illustrated in a battery of both artificial and real-world problems. Knowledge discovery in real-world problems, such as object recognition in outdoor scenes, medical diagnosis and control, is described in detail. These case studies provide further examples of how to apply the presented concepts and algorithms to practical problems. The author provides web page access to an online bibliography, datasets, source codes for several algorithms described in the book, and other information. Soft Computing for Knowledge Discovery is for advanced undergraduates, professionals and researchers in computer science, engineering and business information systems who work or have an interest in the dynamic fields of knowledge discovery and soft computing.

This book puts in focus various techniques for checking modeling fidelity of Cyber Physical Systems (CPS), with respect to the physical world they represent. The authors' present modeling and analysis techniques representing different communities, from very different angles, discuss their possible interactions, and discuss the commonalities and differences between their practices. Coverage includes model driven development, resource-driven development, statistical analysis, proofs of simulator implementation, compiler construction, power/temperature modeling of digital devices, high-level performance analysis, and code/device certification. Several industrial contexts are covered, including modeling of computing and communication, proof architectures models and statistical based validation techniques.

This book describes automated debugging approaches for the bugs and the faults which appear in different abstraction levels of a hardware system. The authors employ a transaction-based debug approach to systems at the transaction-level, asserting the correct relation of transactions. The automated debug approach for design bugs finds the potential fault candidates at RTL and gate-level of a circuit. Debug techniques for logic bugs and synchronization bugs are demonstrated, enabling readers to localize the most difficult bugs. Debug automation for electrical faults (delay faults)finds the potentially failing speedpaths in a circuit at gate-level. The various debug approaches described achieve high diagnosis accuracy and reduce the debugging time, shortening the IC development cycle and increasing the productivity of designers. Describes a unified framework for debug automation used at both pre-silicon and post-silicon stages; Provides approaches for debug automation of a hardware system at different levels of abstraction, i.e., chip, gate-level, RTL and transaction level; Includes techniques for debug automation of design bugs and electrical faults, as well as an infrastructure to debug NoC-based multiprocessor SoCs.

Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. This in turn has posed a tremendous need for a larger computational power that conventional scalar processors may not be able to deliver efficiently. These processors are oriented towards numeric and data manipulations. Due to the neurocomputing requirements (such as non-programming and learning) and the artificial intelligence requirements (such as symbolic manipulation and knowledge representation) a different set of constraints and demands are imposed on the computer architectures/organizations for these applications. Research and development of new computer architectures and VLSI circuits for neural networks and artificial intelligence have been increased in order to meet the new performance requirements. This book presents novel approaches and trends on VLSI implementations of machines for these applications. Papers have been drawn from a number of research communities; the subjects span analog and digital VLSI design, computer design, computer architectures, neurocomputing and artificial intelligence techniques. This book has been organized into four subject areas that cover the two major categories of this book; the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence. The topics that are covered in each area are briefly introduced below.

Now in a thoroughly revised second edition, this practical practitioner guide provides a comprehensive overview of the SoC design process. It explains end-to-end system on chip (SoC) design processes and includes updated coverage of design methodology, the design environment, EDA tool flow, design decisions, choice of design intellectual property (IP) cores, sign-off procedures, and design infrastructure requirements. The second edition provides new information on SOC trends and updated design cases. Coverage also includes critical advanced guidance on the latest UPF-based low power design flow, challenges of deep submicron technologies, and 3D design fundamentals, which will prepare the readers for the challenges of working at the nanotechnology scale. A Practical Approach to VLSI System on Chip (SoC) Design: A Comprehensive Guide, Second Edition provides engineers who aspire to become VLSI designers with all the necessary information and details of EDA tools. It will be a valuable professional reference for those working on VLSI design and verification portfolios in complex SoC designs

This book describes the most recent techniques for turbo decoder implementation, especially for 4G and beyond 4G applications. The authors reveal techniques for the design of high-throughput decoders for future telecommunication systems, enabling designers to reduce hardware cost and shorten processing time. Coverage includes an explanation of VLSI implementation of the turbo decoder, from basic functional units to advanced parallel architecture. The authors discuss both hardware architecture techniques and experimental results, showing the variations in area/throughput/performance with respect to several techniques. This book also illustrates turbo decoders for 3GPP-LTE/LTE-A and IEEE 802.16e/m standards, which provide a low-complexity but high-flexibility circuit structure to support these standards in multiple parallel modes. Moreover, some solutions that can overcome the limitation upon the speedup of parallel architecture by modification to turbo codec are presented here. Compared to the traditional designs, these methods can lead to at most 33% gain in throughput with similar performance and similar cost.

Dynamic Reconfigurable Architectures and Transparent Optimization Techniques presents a detailed study on new techniques to cope with the aforementioned limitations. First, characteristics of reconfigurable systems are discussed in details, and a large number of case studies is shown. Then, a detailed analysis of several benchmarks demonstrates that such architectures need to attack a diverse range of applications with very different behaviours, besides supporting code compatibility. This requires the use of dynamic optimization techniques, such as Binary Translation and Trace reuse. Finally, works that combine both reconfigurable systems and dynamic techniques are discussed and a quantitative analysis of one them, the DIM architecture, is presented.