Emerging Trends in Cloud Computing
Will be published approx. on 1. March 2026
Book
Paperback/Softback
472 pages
978-1-77956-881-6 (ISBN)
Description
Cloud computing has transformed the digital landscape by offering scalable, cost-effective, and flexible infrastructure for businesses and individuals alike. Understanding its emerging trends is crucial for innovation and strategic IT management. Emerging Trends in Cloud Computing explores developments in edge computing, hybrid cloud systems, and cloud security. The book discusses data privacy, virtualization, and service models such as SaaS, PaaS, and IaaS. It also examines the role of AI, IoT, and blockchain in shaping the next generation of cloud technologies. Combining technical depth with strategic insight, it serves as an essential resource for IT professionals and students exploring the future of cloud computing.
More details
Language
English
Place of publication
Canada
Publishing group
Arcler Press
Target group
Professional and scholarly
Product notice
Klappenbroschur
Dimensions
Height: 254 mm
Width: 203 mm
ISBN-13
978-1-77956-881-6 (9781779568816)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Bechoo Lal, PhD. became a Member (M) of IAENG: International Association of Engineers, USA with membership (108820) in 2010, a Senior Member (SM) in 2019. I am doctorate PhD in Computer Science, PhD- Information System from University of Mumbai, M.Tech-CSE, Master of Computer Application (MCA) - Banaras Hindu University (BHU), India, and PGP- Data Science from Purdue University, USA. Currently I am working as an Associate Professor in Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation (KLEF) - KL University Vijayawada Campus Andhra Pradesh, India. In addition to this I am supervising PhD research scholars from SJJT University, Rajasthan, India. My research areas are data science, big data analytics and Machine Learning.