Books in the Computer Communications and Networks series

This book focuses on the development and implementation of cloud-based, complex software that allows parallelism, fast processing, and real-time connectivity. Software engineering (SE) is the design, development, testing, and implementation of software applications, and this discipline is as well developed as the practice is well established whereas the Cloud Software Engineering (CSE) is the design, development, testing, and continuous delivery of service-oriented software systems and applications (Software as a Service Paradigm). However, with the emergence of the highly attractive cloud computing (CC) paradigm, the tools and techniques for SE are changing. CC provides the latest software development environments and the necessary platforms relatively easily and inexpensively. It also allows the provision of software applications equally easily and on a pay-as-you-go basis. Business requirements for the use of software are also changing and there is a need for applicationsin big data analytics, parallel computing, AI, natural language processing, and biometrics, etc. These require huge amounts of computing power and sophisticated data management mechanisms, as well as device connectivity for Internet of Things (IoT) environments. In terms of hardware, software, communication, and storage, CC is highly attractive for developing complex software that is rapidly becoming essential for all sectors of life, including commerce, health, education, and transportation.The book fills a gap in the SE literature by providing scientific contributions from researchers and practitioners, focusing on frameworks, methodologies, applications, benefits and inherent challenges/barriers to engineering software using the CC paradigm.

The book reports the wide experiences the authors accumulated in the subject area during the work on common FAN-related projects conducted with the team of James Roberts that proposed the original FAN concept as well as other leading research groups in Europe and the USA.

This is then followed with a description of the implementation of the concepts in a sample kernel, complete with executable code.Topics and features: introduces the fundamentals of real-time systems, including real-time architecture and distributed real-time systems;

This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data;

This book provides a practical guide to flow-aware networking (FAN), one of the most promising new quality-of-service architectures for the Future Internet. analyzes aspects of fair transmission in FAN, reviewing algorithms that improve transmission of streaming flows during network failures;

The work highlights the main causes of failures of network nodes and links, and presents an overview of resilient routing mechanisms, covering issues related to the Future Internet (FI), wireless mesh networks (WMNs), and vehicular ad-hoc networks (VANETs).

This book presents an examination of the middleware that can be used to configure and operate heterogeneous node platforms and sensor networks. provides a detailed examination of platform-agnostic middleware architecture, including important implementation details;

This book covers such cutting-edge applications in communications as advanced metering infrastructure, distribution automation, demand response and synchrophasors. Discusses transformation of integrated networks via smart grid architecture format.

This book introduces theoretical and practical aspects of computer networks and network programming, surveying current developments in network architecture, communication protocols and programming techniques, supported by code examples for hands-on practice.

Part 1 - Cloud Requirements Engineering and Domain Modelling: 1. Requirement Engineering Framework for Service and Cloud Computing (REF-SCC).- 2. Towards an Effective Requirement Engineering Approach for Cloud Applications.- 3. Requirements Engineering for Large-Scale Big Data Applications.- 4. Migrating from Monoliths to Cloud-Based Microservices: A Banking Industry Example.- 5. Cloud Enabled Domain Based Software Development.- 6. Security Challenges in Software Engineering for the Cloud: A Systematic Review. Part 2 - Cloud Design and Software Engineering Analytics with Machine Learning Approaches : 7. Software Engineering Framework for Software Defect Management Using Machine Learning Techniques with Azure.- 8. Sentiment Analysis of Twitter Data Through Machine Learning Techniques.- 9. Connection Handler: A Design Pattern for Recovery from Connection Crashes. Part 3 : Cloud Testing and Software Process Improvement as a Service : 10. A Modern Perspective on Cloud Testing Ecosystems.- 11. Towards Green Software Testing in Agile and DevOps using Cloud Virtualization for Environmental Protection.- 12. Machine Learning as a Service for Software Process Improvement.- 13. Comparison of Data Mining Techniques in the Cloud for Software Engineering.

Smart Homes (SH) offer a promising approach to assisted living for the ageing population. Yet the main obstacle to the rapid development and deployment of Smart Home (SH) solutions essentially arises from the nature of the SH field, which is multidisciplinary and involves diverse applications and various stakeholders. Accordingly, an alternative to a one-size-fits-all approach is needed in order to advance the state of the art towards an open SH infrastructure.This book makes a valuable and critical contribution to smart assisted living research through the development of new effective, integrated, and interoperable SH solutions. It focuses on four underlying aspects: (1) Sensing and Monitoring Technologies; (2) Context Interference and Behaviour Analysis; (3) Personalisation and Adaptive Interaction, and (4) Open Smart Home and Service Infrastructures, demonstrating how fundamental theories, models and algorithms can be exploited to solve real-world problems.This comprehensive and timely book offers a unique and essential reference guide for policymakers, funding bodies, researchers, technology developers and managers, end users, carers, clinicians, healthcare service providers, educators and students, helping them adopt and implement smart assisted living systems.

This unique text/reference provides an overview of crossbar-based interconnection networks, offering novel perspectives on these important components of high-performance, parallel-processor systems. A particular focus is placed on solutions to the blocking and scalability problems.Topics and features: introduces the fundamental concepts in interconnection networks in multi-processor systems, including issues of blocking, scalability, and crossbar networks; presents a classification of interconnection networks, and provides information on recognizing each of the networks; examines the challenges of blocking and scalability, and analyzes the different solutions that have been proposed; reviews a variety of different approaches to improve fault tolerance in multistage interconnection networks; discusses the scalable crossbar network, which is a non-blocking interconnection network that uses small-sized crossbar switches as switching elements.This invaluable work will be of great benefit to students, researchers and practitioners interested in computer networks, parallel processing and reliability engineering. The text is also essential reading for course modules on interconnection network design and reliability.

This invaluable text/reference investigates the state of the art in approaches to building, monitoring, managing, and governing smart cities. A particular focus is placed on the distributed computing environments within the infrastructure of such cities, including issues of device connectivity, communication, security, and interoperability. A selection of experts of international repute offer their perspectives on current trends and best practices, and their suggestions for future developments, together with case studies supporting the vision of smart cities based on the Internet of Things (IoT).Topics and features: examines the various methodologies relating to next-level urbanization, including approaches to security and privacy relating to social and legal aspects; describes a recursive and layered approach to modeling large-scale resource management systems for self-sustainable cities; proposes a novel architecture for hybrid vehicular wireless sensor networks, and a pricing mechanism for the management of natural resources; discusses the challenges and potential solutions to building smart city surveillance systems, applying knowledge-based governance, and adopting electric vehicles; covers topics on intelligent distributed systems, IoT, fog computing paradigms, big data management and analytics, and smart grids; reviews issues of sustainability in the design of smart cities and healthcare services, illustrated by case studies taken from cities in Japan, India, and Brazil.This illuminating volume offers a comprehensive reference for researchers investigating smart cities and the IoT, students interested in the distributed computing technologies used by smart living systems, and practitioners wishing to adopt the latest security and connectivity techniques in smart city environments.

This professional guide and reference examines the challenges of assessing security vulnerabilities in computing infrastructure. Various aspects of vulnerability assessment are covered in detail, including recent advancements in reducing the requirement for expert knowledge through novel applications of artificial intelligence. The work also offers a series of case studies on how to develop and perform vulnerability assessment techniques using start-of-the-art intelligent mechanisms.Topics and features: provides tutorial activities and thought-provoking questions in each chapter, together with numerous case studies; introduces the fundamentals of vulnerability assessment, and reviews the state of the art of research in this area; discusses vulnerability assessment frameworks, including frameworks for industrial control and cloud systems; examines a range of applications that make use of artificial intelligence to enhance the vulnerability assessment processes; presents visualisation techniques that can be used to assist the vulnerability assessment process.In addition to serving the needs of security practitioners and researchers, this accessible volume is also ideal for students and instructors seeking a primer on artificial intelligence for vulnerability assessment, or a supplementary text for courses on computer security, networking, and artificial intelligence.

This unique volume explores cutting-edge management approaches to developing complex software that is efficient, scalable, sustainable, and suitable for distributed environments. Practical insights are offered by an international selection of pre-eminent authorities, including case studies, best practices, and balanced corporate analyses. Emphasis is placed on the use of the latest software technologies and frameworks for life-cycle methods, including the design, implementation and testing stages of software development. Topics and features:· Reviews approaches for reusability, cost and time estimation, and for functional size measurement of distributed software applications· Discusses the core characteristics of a large-scale defense system, and the design of software project management (SPM) as a service· Introduces the 3PR framework, research on crowdsourcing software development, and an innovative approach to modeling large-scale multi-agent software systems· Examines a system architecture for ambient assisted living, and an approach to cloud migration and management assessment· Describes a software error proneness mechanism, a novel Scrum process for use in the defense domain, and an ontology annotation for SPM in distributed environments· Investigates the benefits of agile project management for higher education institutions, and SPM that combines software and data engineering This important text/reference is essential reading for project managers and software engineers involved in developing software for distributed computing environments. Students and researchers interested in SPM technologies and frameworks will also find the work to be an invaluable resource. Prof. Zaigham Mahmood is a Senior Technology Consultant at Debesis Education UK and an Associate Lecturer (Research) at the University of Derby, UK. He also holds positions as Foreign Professor at NUST and IIU in Islamabad, Pakistan, and Professor Extraordinaire at the North West University Potchefstroom, South Africa.

introduces a mobile IoT simulator designed to evaluate the behavior of IoT systems, in addition to a novel approach to manage hyper-connectivity in the IoT;

This comprehensive textbook/reference presents a focused review of the state of the art in privacy research, encompassing a range of diverse topics.

This book captures the state of the art in cloud technologies, infrastructures, and service delivery and deployment models. reviews existing elasticity management solutions, discusses the relationship between cloud management and governance, and describes the development of a cloud service capability assessment model;

This book reviews the challenging issues that present barriers to greater implementation of the cloud computing paradigm, together with the latest research into developing potential solutions. discusses a methodology for cloud security management, and proposes a framework for secure data storage and identity management in the cloud;

The book offers both a discussion of relevant software engineering approaches and practical guidance on enterprise-wide software deployment in the cloud environment, together with real-world case studies.

Moreover, the rate of technological innovation is such that to the c- sumer, technology implementation is fully opaque.Nonetheless, opportunities to carry out commerce in novel ways also introduce risk to established - cial structures, conventions, and institutions.

This updated edition will help IT managers and assets protection professionals to assure the protection and availability of vital digital information and related information systems assets. The book uniquely bridges the gap between information security, information systems security and information warfare.

This book analyzes the latest advances in privacy, security and risk technologies within cloud environments. discusses privacy impact assessments for the cloud, and examines the use of cloud audits to attenuate cloud security problems;