Cloud Computing A Step By Step Approach In Learning Cloud Computing Concepts The Shift Towards Distributed Computing Paradigms And The Growing
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Cloud Computing: A Step-by-step Approach in Learning Cloud Computing Concepts (The Shift Towards Distributed Computing Paradigms and the Growing)
In recent years, there has been a dramatic shift in the way computing resources are provisioned and utilized. Traditional monolithic systems have given way to distributed computing models, where processing power is distributed across multiple nodes and interconnected through networks. This paradigm shift has been driven by the growing demand for scalable, flexible, and cost-effective computing solutions. Here's what makes this book · Cloud Computing Fundamentals · Cloud Service Models · Cloud Deployment Models (Public, Private, Hybrid, Multi-Cloud) · Cloud Security and Compliance · Virtualization and Containerization · Cloud Storage and Networking · Cloud Migration Strategies · Server less Computing · Divots in the Cloud · Micro services Architecture This book will give you enough understanding on Cloud Computing concepts from where you can take yourself to a higher level of expertise. Before proceeding with this book, you should have basic knowledge of Computers, Internet, Database and Networking concepts.
Data Intensive Computing Applications for Big Data
The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.
Artificial Intelligence: Concepts, Methodologies, Tools, and Applications
Author: Management Association, Information Resources
language: en
Publisher: IGI Global
Release Date: 2016-12-12
Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.