Naresh Kumar Sehgal – författare

This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing etc.  Readers will benefit from the in-depth discussion of cloud computing usage and the underlying architectures.  The authors explain carefully the “why’s and how’s” of Cloud Computing, so engineers will find this book an invaluable source of information to the topic.  This second edition includes new material on Cloud Computing Security, Threat Vectors and Trust Models, as well as best practices for a using dynamic cloud infrastructure, and cloud operations management.  Several new examples and analysis of cloud security have been added, including edge computing with IoT devices.

This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing, and healthcare etc.  Readers will benefit from the in-depth discussion of cloud computing usage and the underlying architectures.  The authors explain carefully the “why’s and how’s” of Cloud Computing, so engineers will find this book an invaluable source of information to the topic.  This third edition includes new material on Cloud Computing Scalability, as well as best practices for using dynamic cloud infrastructure, and cloud operations management with cost optimizations.  Several new examples and analysis of cloud security have been added, including ARM architecture and https protocol.

Cloud Computing has been in use for several decades now, but the art and science of delivering Cloud based products is still shrouded in mystery. This book shines new light on how to deliver projects on time and within budget. The authors discuss the theory and practices of software engineering as applied to successful project execution, with real, Cloud-based products.

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.  

This book provides readers with an overview of the next generation of Cloud computing with AI, evolving to minimize latency and address privacy/security concerns of many customers. This book will highlight the associated problems and propose new solutions for performing AI and ML at the edge of computing networks.