- ホーム
- > 洋書
- > ドイツ書
- > Mathematics, Sciences & Technology
- > Computer & Internet
- > internet, data communication, networks
Full Description
This comprehensive text/reference presents a broad-ranging overview of device connectivity in distributed computing environments, supporting the vision of an Internet of Things (IoT). Expert perspectives are provided by an international selection of researchers from both industry and academia, covering issues of communication, security, privacy, interoperability, networking, access control, and authentication. In addition to discussing state-of-the-art research and practice, the book includes corporate analyses offering a balanced view of benefits and limitations, and numerous case studies illustrating the challenges and practical solutions.
Topics and features: discusses issues of security and privacy in connected environments, with a specific focus on the impact of the IoT paradigm on enterprise information systems; examines the challenges of managing big data in IoT environments, and proposes cloud computing-based solutions to the limitations inherent in the IoT paradigm; suggests approaches to overcome service-level interoperability problems in the IoT environment; 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; describes the use of the Essence framework to model software development methods, and highlights the benefits of integrating data from smart buildings and IoT devices; presents an asymmetric schema matching mechanism for IoT interoperability, and explores the topic of automatic provenance capture at the middleware level; reviews emerging network topologies and communication technologies, and advises on the adoption of a data distribution service as a middleware platform for IoT systems.
This practically-oriented volume serves as a complete reference for students, researchers and practitioners of distributed computing, providing insights into the latest approaches, technologies, and frameworks relevant to the IoT environment.
Contents
Part I: Challenges and Solutions.- Security Challenges in the IoT Paradigm for Enterprise Information Systems.- Security and Privacy Across Connected Environments.- Big Data Challenges for the IoT Paradigm.- Using Cloud Computing to Address Challenges Raised by the Internet of Things.- Overcoming Service-Level Interoperability Challenges of the IoT.- Part II: Methods and Frameworks.- Simulating Sensor Devices for Experimenting with IoT Cloud Systems.- Managing Heterogeneous Communication Challenges in the Internet of Things using Connector Variability.- Adopting the Essence Framework to Derive a Practice Library for the Development of IoT Systems.- Integration of Buildings Information with Live Data from IoT Devices.- Part III: Advances and Latest Research.- Interoperability in the Internet of Things with Asymmetric Schema Matching.- Automatic Big Data Provenance Capture at Middleware Level in Advanced Big Data Frameworks.- Networking Topologies and Communication Technologies for the IoT.- Data Distribution Service Based Architecture Design for Internet of Things Systems.
