Internet of Everything and Big Data: Major Challenges in Smart Cities

Description

There currently is no in-depth book dedicated to the challenge of the Internet of Everything and Big Data technologies in smart cities. Humankind today is confronting a critical worldwide portability challenge and the framework that moves cities must keep pace with the innovation. Internet of Everything and Big Data: Major Challenges in Smart Cities reviews the applications, technologies, standards, and other issues related to smart cities. This book is dedicated to addressing the major challenges in realizing smart cities and sensing platforms in the era of Big Data cities and Internet of Everything. Challenges vary from cost and energy efficiency to availability and service quality. This book examines security issues and challenges, addresses the total information science challenges, covers exploring and creating IoT environment-related sales adaptive systems, and investigates basic and high-level concepts using the latest techniques implemented by researchers and businesses. The book is written for analysts, researchers, and specialists who are working on the future generation of the technologies. It will serve as a valuable guide for those in the industry, and students as well. Cover Half Title Series Page Title Page Copyright Page Contents Preface Editors Contributors Chapter 1: Analytical Review of Roles of the Internet in the Indian Education System Chapter 2: Performance Evaluation of Components of the Hadoop Ecosystem Chapter 3: The Effect of the Financial Crisis on Corporal Wellbeing: Apparent Impact Matters Chapter 4: Comparative Study of Memory Architectures for Multiprocessor Systems-on-Chip (MPSoC) Chapter 5: Assessment of Heating and Cooling Energy Needs in Residential Buildings in Settat, Morocco Chapter 6: Authentication Model Using the JADE Framework for Communication Security in Multiagent Systems Chapter 7: Estimation of Daily Energy Production of a Solar Power Plant Using Artificial Intelligence Techniques Chapter 8: Daily Time Series Estimation of Global Horizontal Solar Radiation from Artificial Neural Networks Chapter 9: Tools of Forward-Looking Management of Jobs in the Moroccan Ministry of Finance and Benchmark with Other Ministries Chapter 10: Artificial Intelligence–Based Methods of Financial Time Series for Trading Experts in a Relational Database to Generate Decisions Chapter 11: Modeling Energy Consumption of Freight Vehicles with MLR Chapter 12: Impact of Limescale on Home Appliances in a Building Index