Although some IoT systems are built for simple event control where a sensor signal triggers a corresponding reaction, many events are far more complex, requiring applications to interpret the event using analytical techniques to initiate proper actions. Artificial intelligence of things (AIoT) applies intelligence to the edge and gives devices the ability to understand the data, observe the environment around them, and decide what to do best with minimum human intervention. With the power of AI, AIoT devices are not just messengers feeding information to control centers. They have evolved into intelligent machines capable of performing self-driven analytics and acting independently. A smart environment uses technologies such as wearable devices, IoT, and mobile internet to dynamically access information, connect people, materials and institutions, and then actively manages and responds to the ecosystem's needs in an intelligent manner. In this edited book, the authors present challenges, technologies, applications and future trends of AI-enabled IoT (AIoT) in realizing smart and intelligent environments, including frameworks and methodologies to apply AIoT in monitoring devices and environments, tools and practices most applicable to product or service development to solve innovation problems, advanced and innovative techniques and practical implementations to enhance future smart environment systems as. They plan to cover a broad range of applications including smart cities, smart transportation and smart agriculture. This book is a valuable resource for industry and academic researchers, scientists, engineers and advanced students in the fields of ICTs and networking, IoT, AI and machine and deep learning, data science, sensing, robotics, automation and smart technologies and smart environments.

Cognitive networks can be crucial for the evolution of future communication systems; however, current trends have indicated major movement in other relevant fields towards the integration of different techniques for the realization of self-aware and self-adaptive communication systems. Evolution of Cognitive Networks and Self-Adaptive Communication Systems overviews innovative technologies combined for the formation of self-aware, self-adaptive, and self-organizing networks. By aiming to inform the research community and the related industry of solutions for cognitive networks, this book is essential for researchers, instructors, and professionals interested in clarifying the latest trends resulting in a unified realization for cognitive networking and communication systems.

Computer networks have become essential to the survival of businesses, organizations, and educational institutions, as the number of network users, services, and applications has increased alongside advancements in information technology. Given this, efforts have been put forward by researchers, designers, managers, analysts, and professionals to optimize network performance and satisfy the varied groups that have an interest in network design and implementation. Simulation in Computer Network Design and Modeling: Use and Analysis reviews methodologies in computer network simulation and modeling, illustrates the benefits of simulation in computer networks design, modeling, and analysis, and identifies the main issues that face efficient and effective computer network simulation. This reference will inform the work and research of academics, post-graduate students, developers, network designers, network analysts, telecommunication system designers, and others who are interested in using simulation in computer network design and modeling.

Service Oriented Architecture (SOA) is the paradigm for software and system specification, design, implementation and management that intends to shape and dominate IT and business landscapes in the near future. Non-Functional Properties in Service Oriented Architecture: Requirements, Models and Methods offers a selection of chapters that cover three important aspects related to the use of non-functional properties in SOA: requirements specification with respect to non-functional properties, modeling non-functional properties and implementation of non-functional properties. This book serves as both a practical reference and an advanced scientific source for those interested in current issues, new trends, and yet-unresolved areas of the discipline.

Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these sophisticated processes are redesigned as cloud workflows, and at runtime, the models are executed by employing the supercomputing and data sharing ability of the underlying cloud computing infrastructures.

"Temporal QOS Management in Scientific Cloud Workflow Systems" focuses on real world scientific applications which often must be completed by satisfying a set of temporal constraints such as milestones and deadlines. Meanwhile, activity duration, as a measurement of system performance, often needs to be monitored and controlled. This book demonstrates how to guarantee on-time completion of most, if not all, workflow applications. Offering a comprehensive framework to support the lifecycle of time-constrained workflow applications, this book will enhance the overall performance and usability of scientific cloud workflow systems.
Explains how to reduce the cost to detect and handle temporal violations while delivering high quality of service (QoS) Offers new concepts, innovative strategies and algorithms to support large-scale sophisticatedapplications in the cloud Improves the overall performance and usability of cloud workflow systems"

Dynamic, trustworthy and reliable service delivery in Service Oriented Architectures (SOA) is one of the main preconditions for successful and sustainable business operations. Service and business process reliability is, therefore, of paramount importance and cannot be compromised. Engineering Reliable Service Oriented Architecture: Managing Complexity and Service Level Agreements presents a guide to engineering reliable SOA systems and enhances current understanding of service reliability. It is an essential reference for both practitioners and researchers wishing to explore state-of-the art results from the field of reliable SOA application engineering.

This book is aimed squarely at the Independent Software Vendor (ISV) who is considering Force.com as a route to market their software offerings. Alternatively you could be part of a corporate IT department looking to deliver solutions more quickly for your business users. You have many of the same issues as the ISV, but from a slightly different perspective. This book is intended to be a catalyst for action aimed at a range of people inside and outside your organization

Recent technology trends involving the combination of mobile networks and cloud computing have offered new chances for mobile network providers to use specific carrier-cloud services. These advancements will enhance the utilization of the mobile cloud in industry and corporate settings. Mobile Networks and Cloud Computing Convergence for Progressive Services and Applications is a fundamental source for the advancement of knowledge, application, and practice in the interdisciplinary areas of mobile network and cloud computing. By addressing innovative concepts and critical issues, this book is essential for researchers, practitioners, and students interested in the emerging field of vehicular wireless networks.

Private cloud computing enables you to consolidate diverse enterprise systems into one that is cloud-based and can be accessed by end-users seamlessly, regardless of their location or changes in overall demand. Expert authors Steve Smoot and Nam K. Tan distill their years of networking experience to describe how to build enterprise networks to create a private cloud. With their techniques you'll create cost-saving designs and increase the flexibility of your enterprise, while maintaining the security and control of an internal network. "Private Cloud Computing "offers a complete cloud architecture for enterprise networking by synthesizing WAN optimization, next-generation data centers, and virtualization in a network-friendly way, tying them together into a complete solution that can be progressively migrated to as time and resources permit.
Describes next-generation data center architectures such as the virtual access-layer, the unified data center fabric and the "rack-and-roll" deployment modelProvides an overview of cloud security and cloud management from the server virtualization perspectivePresents real-world case studies, configuration and examples that allow you to easily apply practical know-how to your existing enterprise environmentOffers effective private cloud computing solutions to simplify the costly and problematic challenge of enterprise networking and branch server consolidation

About 25 years ago, the first developments of ANT (Actor-Network Theory) took place, but it wasn t until much later that researchers began to take it seriously. In the late 1990s, ANT began to take hold in the scientific community as a new and exciting approach to socio-technical research and social theory. Actor-Network Theory and Technology Innovation: Advancements and New Concepts provides a comprehensive look at the development of actor-network theory itself, as well as case studies of its use to assist in the explanation of various socio-technical phenomena. This book includes topics relating to technological innovation; both those using actor-network theory as an explanatory framework and those using other approaches. It is an excellent source of information regarding ANT as an approach to technological innovation and its link to ICT (Information Communication Technology).

Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values. The Handbook of Research on Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such as disaster prediction, governance, and healthcare. It is an excellent resource for researchers, working professionals, academicians, policymakers, and defense companies.

The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.

The growth, scale, and prominence of video applications over the years have placed emphasis on the most scalable and efficient way to deliver multi-play content (voice, video and data) to the end user. Multicast is the most effective and efficient carrier of video applications from a network standpoint. Financial organizations deploy large-scale multicast infrastructures to enable trading and e-commerce. The introduction of 4G and beyond makes this technology even more indispensible since mobile operators need an efficient mechanism to deliver repetitive content to many a handset, and multicast is the answer. Thisis the first book to distill information on this topic from disparate sources. It is written by one of the early implementers, andis the go-to referencefor deploying the Next Generation model.Thisbook proves areal benefit to networking professionals from service providers, enterprises, the vendor community, and anyone elsewho wants to understand this fast emerging and popular scheme of deployment from a vendor-neutral standpoint.
Offers contextualized case studies for illustrating deployment of the Next Generation Multicast technology

Provides the background necessary to understand current generation multi-play applications and their service requirements

Includes practical tips on various migration options available for moving to the Next Generation framework from the legacy"

Recently, the event-based paradigm, a burgeoning technology receiving attention in research as well as industry, has gained momentum in the commercial world causing a need for further research in the field. Principles and Applications of Distributed Event-Based Systems showcases event-based systems in real-world applications, providing an overview of relevant terminology and content approachable for readers from a variety of backgrounds. Containing expert international contributions, this advanced publication provides professionals, researchers, and students in systems design with a rich compendium of latest applications in the field.

Cloud Computing Service and Deployment Models: Layers and Management presents a collection of diverse perspectives on cloud computing and its vital role in all components of organizations. With its intent to benefit practitioners and industry professionals, this book aims to improve the understanding of cloud computing and tackle related concerns such as change management, security, processing approaches, and much more.

Technology trends may come and go, but cloud computing technologies have been gaining consideration in the commercial world due to its ability to provide on-demand access to resources, control the software environment, and supplement existing systems. Pervasive Cloud Computing Technologies: Future Outlooks and Interdisciplinary Perspectives explores the latest innovations with cloud computing and the impact of these new models and technologies. This book will present case studies and research on the future of cloud computing technologies and its ability to increase connectivity of various entities of the world. It is an essential resource for technology practitioners, engineers, managers, and academics aiming to gain the knowledge of these novel and pervasive technologies.

There is a need within radio-frequency identification (RFID) and other smart technologies to understand related practical implications. Auto-Identification and Ubiquitous Computing Applications: RFID and Smart Technologies for Information Convergence reports on problems related to the primary use of RFID technologies. This book provides a detailed overview of RFID literature, specifically in using RFID and smart technologies for identification, and draws together several different fields of research across supply chain management, asset tracking, and novel use of RFID for identification.

As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are being leveraged to tackle this growing problem. AI is becoming further integrated with software that manage networks, storage, and can compute. This edited book focuses on how new network analytics, IoTs and Cloud Computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance. From big data and AI analytical techniques for handling the huge amount of data generated by IoT devices, the authors cover cloud storage optimization, the design of next generation access protocols and internet architecture, fault tolerance and reliability in intelligent networks, and discuss a range of emerging applications. This book will be useful to researchers, scientists, engineers, professionals, advanced students and faculty members in ICTs, data science, networking, AI, machine learning and sensing. It will also be of interest to professionals in data science, AI, cloud and IoT start-up companies, as well as developers and designers.

In the ever-evolving telecommunication industry, technological improvements alone are not able to keep up with the significant growth of mobile broadband traffic. As such, new research on communications networks is necessary to keep up with rising demand. Convergence of Broadband, Broadcast, and Cellular Network Technologies addresses the problems of broadband, broadcast, and cellular coexistence, including the increasing number of advanced mobile users and their bandwidth demands. This book will serve as a link between academia and industry, serving students, researchers, and industry professionals.