This book provides an overview of the problems involved in engineering scalable, elastic, and cost-efficient cloud computing services and describes the CloudScale method - a description of rescuing tools and the required steps to exploit these tools. It allows readers to analyze the scalability problem in detail and identify scalability anti-patterns and bottlenecks within an application. With the CloudScale method, software architects can analyze both existing and planned IT services. The method allows readers to answer questions like: * With an increasing number of users, can my service still deliver acceptable quality of service? * What if each user uses the service more intensively? Can my service still handle it with acceptable quality of service? * What if the number of users suddenly increases? Will my service still be able to handle it? * Will my service be cost-efficient? First the book addresses the importance of scalability, elasticity, and cost-efficiency as vital quality-related attributes of modern cloud computing applications. Following a brief overview of CloudScale, cloud computing applications are then introduced in detail and the aspects that need to be captured in models of such applications are discussed. In CloudScale, these aspects are captured in instances of the ScaleDL modeling language. Subsequently, the book describes the forward engineering part of CloudScale, which is applicable when developing a new service. It also outlines the reverse and reengineering parts of CloudScale, which come into play when an existing (legacy) service is modified. Lastly, the book directly focuses on the needs of both business-oriented and technical managers by providing guidance on all steps of implementing CloudScale as well as making decisions during that implementation. The demonstrators and reference projects described serve as a valuable starting point for learning from experience. This book is meant for all stakeholders interested in delivering scalable, elastic, and cost-efficient cloud computing applications: managers, product owners, software architects and developers alike. With this book, they can both see the overall picture as well as dive into issues of particular interest.

This book introduces the development of self-interference (SI)-cancellation techniques for full-duplex wireless communication systems. The authors rely on estimation theory and signal processing to develop SI-cancellation algorithms by generating an estimate of the received SI and subtracting it from the received signal. The authors also cover two new SI-cancellation methods using the new concept of active signal injection (ASI) for full-duplex MIMO-OFDM systems. The ASI approach adds an appropriate cancelling signal to each transmitted signal such that the combined signals from transmit antennas attenuate the SI at the receive antennas. The authors illustrate that the SI-pre-cancelling signal does not affect the data-bearing signal. This book is for researchers and professionals working in wireless communications and engineers willing to understand the challenges of deploying full-duplex and practical solutions to implement a full-duplex system. Advanced-level students in electrical engineering and computer science studying wireless communications will also find this book useful as a secondary textbook.

This book presents state-of-the-art research on robust resource allocation in current and future wireless networks. The authors describe the nominal resource allocation problems in wireless networks and explain why introducing robustness in such networks is desirable. Then, depending on the objectives of the problem, namely maximizing the social utility or the per-user utility, cooperative or competitive approaches are explained and their corresponding robust problems are considered in detail. For each approach, the costs and benefits of robust schemes are discussed and the algorithms for reducing their costs and improving their benefits are presented. Considering the fact that such problems are inherently non-convex and intractable, a taxonomy of different relaxation techniques is presented, and applications of such techniques are shown via several examples throughout the book. Finally, the authors argue that resource allocation continues to be an important issue in future wireless networks, and propose specific problems for future research.

The Internet has dramatically altered the landscape of crime and national security, creating new threats, such as identity theft, computer viruses, and cyberattacks. Moreover, because cybercrimes are often not limited to a single site or nation, crime scenes themselves have changed. Consequently, law enforcement must confront these new dangers and embrace novel methods of prevention, as well as produce new tools for digital surveillance-which can jeopardize privacy and civil liberties. Cybercrime brings together leading experts in law, criminal justice, and security studies to describe crime prevention and security protection in the electronic age. Ranging from new government requirements that facilitate spying to new methods of digital proof, the book is essential to understand how criminal law-and even crime itself-have been transformed in our networked world. Contributors: Jack M. Balkin, Susan W. Brenner, Daniel E. Geer, Jr., James Grimmelmann, Emily Hancock, Beryl A. Howell, Curtis E.A. Karnow, Eddan Katz, Orin S. Kerr, Nimrod Kozlovski, Helen Nissenbaum, Kim A. Taipale, Lee Tien, Shlomit Wagman, and Tal Zarsky. Jack M. Balkin is Knight Professor of Constitutional Law and the First Amendment at Yale Law School, and the Founder and Director of Yale's Information Society Project (ISP). He is the co-editor of The State of Play: Law, Games, and Virtual Worlds, also from NYU Press. James Grimmelmann, Nimrod Kozlovski, Shlomit Wagman, and Tal Zarsky are Fellows of the ISP. Eddan Katz is the Executive Director of the Information Society Project.

By joining bodies of research in media theory, cultural studies, and critical pedagogy, "Developing Media Literacy in Cyberspace" offers a vision of learning that values social empowerment over technical skills. An inquiry into the existence and range of models equipped to cultivate critical teaching and learning in the Internet-supported classroom, this new study argues that media literacy offers the best long-term training for today's youth to become experienced practitioners of 21st-century technology. Author Julie Frechette helps educators develop and provide concrete learning strategies that enable students to judge the validity and worth of what they see on the Internet as they strive to become critically autonomous in a technology-laden world.

Part of this effort lies in developing a keen awareness of the institutional, political, and economic structure of the Internet as a means of communication that is increasingly marketing products and targeting advertisements toward youth. Values on the Internet are discussed constantly both by the major media and by the private sector, with little regard for the pervasive interests and authority of profitable industries staking out their territory in this new global village. Unlike other studies that provide a broad sociohistorical context for the development of theoretical uses of new technologies in the classroom, "Developing Media Literacy in Cyberspace" lays the groundwork for establishing critical thinking skills that will serve students' interests as they navigate this vast and complicated cyberterritory.

Internet use for business-to-business e-commerce is expected to grow at spectacular rates. Many experts feel that perceived lack of trust in e-commerce transactions on the Internet has contributed to the slow adoption of e-commerce in the recent past. This book provides an avenue for managers and researchers to explore, examine and describe interorganizaitonal trust relationships in e-commerce participation. With the identification of trust behaviours in business relationships this will increase the awareness of e-commerce participants, who can then examine their own and their trading partners' trust behaviours.

This book presents a design methodology that is practically applicable to the architectural design of a broad range of systems. It is based on fundamental design concepts to conceive and specify the required functional properties of a system, while abstracting from the specific implementation functions and technologies that can be chosen to build the system. Abstraction and precision are indispensable when it comes to understanding complex systems and precisely creating and representing them at a high functional level. Once understood, these concepts appear natural, self-evident and extremely powerful, since they can directly, precisely and concisely reflect what is considered essential for the functional behavior of a system. The first two chapters present the global views on how to design systems and how to interpret terms and meta-concepts. This informal introduction provides the general context for the remainder of the book. On a more formal level, Chapters 3 through 6 present the main basic design concepts, illustrating them with examples. Language notations are introduced along with the basic design concepts. Lastly, Chapters 7 to 12 discuss the more intricate basic design concepts of interactive systems by focusing on their common functional goal. These chapters are recommended to readers who have a particular interest in the design of protocols and interfaces for various systems. The didactic approach makes it suitable for graduate students who want to develop insights into and skills in developing complex systems, as well as practitioners in industry and large organizations who are responsible for the design and development of large and complex systems. It includes numerous tangible examples from various fields, and several appealing exercises with their solutions.

Web technologies have become a vital element within educational, professional, and social settings as they have the potential to improve performance and productivity across organizations. Artificial Intelligence Technologies and the Evolution of Web 3.0 brings together emergent research and best practices surrounding the effective usage of Web 3.0 technologies in a variety of environments. Featuring the latest technologies and applications across industries, this publication is a vital reference source for academics, researchers, students, and professionals who are interested in new ways to use intelligent web technologies within various settings.

This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing methods and algorithm-level solutions, taking also into account those ensemble-learning solutions that embed any of the former alternatives. Furthermore, it focuses on the extension of the problem for multi-class problems, where the former classical methods are no longer to be applied in a straightforward way. This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario. Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches. Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue. Specifically, it considers the classification of data streams, non-classical classification problems, and the scalability related to Big Data. Examples of software libraries and modules to address imbalanced classification are provided. This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering. It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions.

This textbook addresses the conceptual and practical aspects of the various phases of the lifecycle of service systems, ranging from service ideation, design, implementation, analysis, improvement and trading associated with service systems engineering. Written by leading experts in the field, this indispensable textbook will enable a new wave of future professionals to think in a service-focused way with the right balance of competencies in computer science, engineering, and management. Fundamentals of Service Systems is a centerpiece for a course syllabus on service systems. Each chapter includes a summary, a list of learning objectives, an opening case, and a review section with questions, a project description, a list of key terms, and a list of further reading bibliography. All these elements enable students to learn at a faster and more comfortable peace. For researchers, teachers, and students who want to learn about this new emerging science, Fundamentals of Service Systems provides an overview of the core disciplines underlying the study of service systems. It is aimed at students of information systems, information technology, and business and economics. It also targets business and IT practitioners, especially those who are looking for better ways of innovating, designing, modeling, analyzing, and optimizing service systems.

This book demonstrates to managers the strategic significance of intra-organizational social networks. It argues that strategic management is embedded in the complexity of social relations that shape the strategic direction of a company. Currently there are few tools available to systematically collect information about the social functioning of an organization. This book fills this gap by shifting attention to the social relations that contribute to strategic advantage and that build on relationships that provide unique resources and create value for the business. It considers three perspectives on how social networks have a strategic function: first, social networks constitute everyday strategic action; second, social networks convey cultural meanings; and third, how social networks depict social processes that continually illustrate what the organization is and what it can become. The book shows top and upper-middle management how cultivating an understanding of intra-firm social relations can help them to build unique strategic advantage and make use of the day-to-day knowledge that emerges in the social connections and interactions within an organization.

Cloud service benchmarking can provide important, sometimes surprising insights into the quality of services and leads to a more quality-driven design and engineering of complex software architectures that use such services. Starting with a broad introduction to the field, this book guides readers step-by-step through the process of designing, implementing and executing a cloud service benchmark, as well as understanding and dealing with its results. It covers all aspects of cloud service benchmarking, i.e., both benchmarking the cloud and benchmarking in the cloud, at a basic level. The book is divided into five parts: Part I discusses what cloud benchmarking is, provides an overview of cloud services and their key properties, and describes the notion of a cloud system and cloud-service quality. It also addresses the benchmarking lifecycle and the motivations behind running benchmarks in particular phases of an application lifecycle. Part II then focuses on benchmark design by discussing key objectives (e.g., repeatability, fairness, or understandability) and defining metrics and measurement methods, and by giving advice on developing own measurement methods and metrics. Next, Part III explores benchmark execution and implementation challenges and objectives as well as aspects like runtime monitoring and result collection. Subsequently, Part IV addresses benchmark results, covering topics such as an abstract process for turning data into insights, data preprocessing, and basic data analysis methods. Lastly, Part V concludes the book with a summary, suggestions for further reading and pointers to benchmarking tools available on the Web. The book is intended for researchers and graduate students of computer science and related subjects looking for an introduction to benchmarking cloud services, but also for industry practitioners who are interested in evaluating the quality of cloud services or who want to assess key qualities of their own implementations through cloud-based experiments.

This book throws new light on the way in which the Internet impacts on democracy. Based on Jurgen Habermas' discourse-theoretical reconstruction of democracy, it examines one of the world's largest, most diverse but also most unequal democracies, Brazil, in terms of the broad social and legal effects the internet has had. Focusing on the Brazilian constitutional evolution, the book examines how the Internet might impact on the legitimacy of a democratic order and if, and how, it might yield opportunities for democratic empowerment. The book also assesses the ways in which law, as an institution and a system, reacts to the changes and challenges brought about by the Internet: the ways in which law may retain its strength as an integrative force, avoiding a 'virtual' legitimacy crisis.

The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research communities, including database, information retrieval, pattern recognition, and machine learning, from which several proposals have been offered to address problems in XML data management and knowledge discovery. XML Data Mining: Models, Methods, and Applications aims to collect knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods, and systems for XML data mining. This book addresses key issues and challenges in XML data mining, offering insights into the various existing solutions and best practices for modeling, processing, analyzing XML data, and for evaluating performance of XML data mining algorithms and systems.

Innovations in cloud and service-oriented architectures continue to attract attention by offering interesting opportunities for research in scientific communities. Although advancements such as computational power, storage, networking, and infrastructure have aided in making major progress in the implementation and realization of cloud-based systems, there are still significant concerns that need to be taken into account. Principles, Methodologies, and Service-Oriented Approaches for Cloud Computing aims to present insight into Cloud principles, examine associated methods and technologies, and investigate the use of service-oriented computing technologies. In addressing supporting infrastructure of the Cloud, including associated challenges and pressing issues, this reference source aims to present researchers, engineers, and IT professionals with various approaches in Cloud computing.

This book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. The primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in real-world scenarios. This book also includes detailed discussions on pedestrian candidates detection, discriminative feature extraction and selection, dimension reduction, distance/metric learning, and decision/ranking enhancement.This book is intended for professionals and researchers working in computer vision and machine learning. Advanced-level students of computer science will also find the content valuable.

Readers seeking to gain a handle on the internet's global expansion will find this book rich in scholarly foundations combined with cutting-edge discussion of emerging ICTs and services and the complex societal contexts in which they are embedded. To explore possibilities to the fullest extent, a sociotechnical systems approach is employed, focusing on the interplay of technical, social, cultural, political, and economic dynamics to explore alternative futures (ones that are not part of the dominant discourse about the internet). These shared perspectives are not well addressed elsewhere in current discussions. Awareness of these dynamics, and the fluidity of the future, is important, as humankind moves forward into the uncertain future. Due to the sociotechnical complexity of the Internet, policymakers, businesspeople, and academics worldwide have struggled to keep abreast of developments. This volume's approach is intended to stimulate dialogue between academics and practitioners on a topic that will affect most aspects of human life in the near-term future.

As the growing relationship between individuals and technology continue to play a vital role in our society and work place, the progress and execution of information technology communication systems is important in maintaining our current way of life. Knowledge and Technological Development Effects on Organizational and Social Structures provides a wide ranging discussion on the exchanging of research ideas and practices in an effort to bring together the social and technical aspects within organizations and society. This collection focuses on new ideas and studies for research, students, and practitioners.