Predictive Analytics in Cloud, Fog, and Edge Computing: Perspectives and Practices of Blockchain, IoT, and 5G

This book explores the relationship between recent technologies like Blockchain, IoT, 5G, cloud computing, fog computing, and mobile edge computing, focusing on architecture proposals, trends, and technical advancements. It also explores the possibility of predictive analytics in cloud computing with respect to these technologies, discussing issues such as Blockchain security, IoT elasticity and scalability management, 5G SLA compliances, resource management, load balancing, and fault-tolerance. The book highlights the need for fog computing and edge computing to efficiently process data from IoT and 5G, and discusses relevant IoT applications like smart cities, smart healthcare systems, and smart communities. It also explores the power of predictive analytics of Blockchain, IoT, and 5G data in cloud computing with its sister technologies, using AI tools to optimize energy consumption, service cost, quality of experience, service availability, and handle large data flows and IoT devices.

Format: Hardback
Length: 248 pages
Publication date: 17 December 2022
Publisher: Springer International Publishing AG

The relationship between modern technologies like blockchain, IoT, and 5G and cloud computing, fog computing, and mobile edge computing is explored in this comprehensive book. It goes beyond just discussing architectural proposals, trends, and technical advancements and delves into the potential of predictive analytics in cloud computing with respect to these cutting-edge technologies.

The advent of cloud computing has revolutionized the way we process vast amounts of data, enabling parallel and distributed processing. This has made it an attractive solution for handling the data generated by Blockchain, IoT, and 5G, which are known for their high data volumes and processing requirements. However, cloud computing also presents several challenges, including blockchain security in the cloud, IoT elasticity and scalability management, service level agreement (SLA) compliance for 5G, resource management, load balancing, and fault tolerance.

This edited book aims to address these issues and provide insights into the intersection of Blockchain, IoT, and 5G with cloud computing. It explores how cloud computing can be enhanced by incorporating fog computing and edge computing to efficiently process the data generated by IoT and 5G devices. It also highlights the significance of fog computing in smart city, smart healthcare, and smart community applications, where it plays a critical role.

While cloud computing has its limitations, particularly in terms of reducing network latency for processing streaming data from IoT devices, fog computing and edge computing offer solutions to this challenge. The book discusses the limitations of fog computing and the need for edge computing to further minimize network latency and enhance the processing of IoT data. Additionally, it explores the power of predictive analytics of blockchain, IoT, and 5G data in cloud computing, leveraging its sister technologies to derive meaningful insights and make informed decisions.

As the amount of resources available continues to increase, the demand for efficient and scalable solutions for processing and analyzing this data is paramount. By leveraging the capabilities of blockchain, IoT, and 5G, along with cloud computing and its related technologies, we can unlock new opportunities for innovation and growth in various industries. This book serves as a valuable resource for researchers, practitioners, and policymakers interested in exploring the potential of these technologies in the context of cloud computing.

Weight: 559g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031180330
Edition number: 1st ed. 2023