Bücher der Reihe Chapman & Hall/CRC Big Data Series

This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It provides a framework that enables business and technical managers to make optimal decisions necessary for the successful migration to Big Data computing environments and applications within their organizations.

The main goal of Internet of Things (IoT) is to make secure, reliable, and fully automated smart environments. However, there are many technological challenges in deploying IoT. This includes connectivity and networking, timeliness, power and energy consumption dependability, security and privacy, compatibility and longevity, and network/protocol standards. Internet of Things and Secure Smart Environments: Successes and Pitfalls provides a comprehensive overview of recent research and open problems in the area of IoT research.Features:Presents cutting edge topics and research in IoTIncludes contributions from leading worldwide researchersFocuses on IoT architectures for smart environmentsExplores security, privacy, and trustCovers data handling and management (accumulation, abstraction, storage, processing, encryption, fast retrieval, security, and privacy) in IoT for smart environmentsThis book covers state-of-the-art problems, presents solutions, and opens research directions for researchers and scholars in both industry and academia.

This book presents state-of-the-art research, methodologies, and applications of high performance computing for big data applications. It covers fundamental issues in Big Data research, including emerging architectures for data-intensive applications, novel analytical strategies to boost data processing, and cutting-edge applications.

This book aims to bridge the gap between large amounts of data and appropriate computational and management methods for scientific discovery. It explores technologies for media/data communication, elastic media/data storage, and cross-network media/data fusion.