The main purpose of this book is to include all the cloud-related technologies in a single platform, so that researchers, academicians, postgraduate students, and those in the industry can easily understand the cloud-based ecosystems.
This book discusses the evolution of cloud computing through grid computing and cluster computing. It will help researchers and practitioners to understand grid and distributed computing cloud infrastructure, virtual machines, virtualization, live migration, scheduling techniques, auditing concept, security and privacy, business models, and case studies through the state-of-the-art cloud computing countermeasures.
This book covers the spectrum of cloud computing-related technologies and the wide-ranging contents will differentiate this book from others. The topics treated in the book include:
The evolution of cloud computing from grid computing, cluster computing, and distributed systems;
Covers cloud computing and virtualization environments;
Discusses live migration, database, auditing, and applications as part of the materials related to cloud computing;
Provides concepts of cloud storage, cloud strategy planning, and management, cloud security, and privacy issues;
Explains complex concepts clearly and covers information for advanced users and beginners.
Audience
The primary audience for the book includes IT, computer science specialists, researchers, graduate students, designers, experts, and engineers who are occupied with research.
From the Back Cover
The main purpose of this book is to include all the cloud-related technologies in a single platform, so that researchers, academicians, postgraduate students, and those in the industry can easily understand the cloud-based ecosystems.
This book discusses the evolution of cloud computing through grid computing and cluster computing. It will help researchers and practitioners to understand grid and distributed computing cloud infrastructure, virtual machines, virtualization, live migration, scheduling techniques, auditing concept, security and privacy, business models, and case studies through the state-of-the-art cloud computing countermeasures.
This book covers the spectrum of cloud computing-related technologies and the wide-ranging contents will differentiate this book from others. The topics treated in the book include:
The evolution of cloud computing from grid computing, cluster computing, and distributed systems;
Covers cloud computing and virtualization environments;
Discusses live migration, database, auditing, and applications as part of the materials related to cloud computing;
Provides concepts of cloud storage, cloud strategy planning, and management, cloud security, and privacy issues;
Explains complex concepts clearly and covers information for advanced users and beginners.
Audience
The primary audience for the book includes IT, computer science specialists, researchers, graduate students, designers, experts, and engineers who are occupied with research.
About the Author
Souvik Pal is an associate professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. He has edited about 15 books and published numerous articles in research journals. His research area includes cloud computing, big data, internet of things, wireless sensor network, and data analytics.
Dac-Nhuong Le obtained his PhD in computer science from Vietnam National University, Vietnam in 2015. He is Deputy-Head of the Faculty of Information Technology, Haiphong University, Vietnam. His area of research includes evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT, and image processing in biomedicine. He has more than 50 publications and edited/authored 15 computer science books.
Prasant Kumar Pattnaik, PhD is a professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. He has published many research papers in peer-reviewed international journals and conferences and has authored many computer science books in the fields of data mining, robotics, graph theory, Turing machine, cryptography, security solutions in cloud computing, mobile computing, and privacy preservation.
Description:
CLOUD COMPUTING SOLUTIONS
The main purpose of this book is to include all the cloud-related technologies in a single platform, so that researchers, academicians, postgraduate students, and those in the industry can easily understand the cloud-based ecosystems.
This book discusses the evolution of cloud computing through grid computing and cluster computing. It will help researchers and practitioners to understand grid and distributed computing cloud infrastructure, virtual machines, virtualization, live migration, scheduling techniques, auditing concept, security and privacy, business models, and case studies through the state-of-the-art cloud computing countermeasures.
This book covers the spectrum of cloud computing-related technologies and the wide-ranging contents will differentiate this book from others. The topics treated in the book include:
Audience
The primary audience for the book includes IT, computer science specialists, researchers, graduate students, designers, experts, and engineers who are occupied with research.
From the Back Cover
The main purpose of this book is to include all the cloud-related technologies in a single platform, so that researchers, academicians, postgraduate students, and those in the industry can easily understand the cloud-based ecosystems.
This book discusses the evolution of cloud computing through grid computing and cluster computing. It will help researchers and practitioners to understand grid and distributed computing cloud infrastructure, virtual machines, virtualization, live migration, scheduling techniques, auditing concept, security and privacy, business models, and case studies through the state-of-the-art cloud computing countermeasures.
This book covers the spectrum of cloud computing-related technologies and the wide-ranging contents will differentiate this book from others. The topics treated in the book include:
Audience
The primary audience for the book includes IT, computer science specialists, researchers, graduate students, designers, experts, and engineers who are occupied with research.
About the Author
Souvik Pal is an associate professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. He has edited about 15 books and published numerous articles in research journals. His research area includes cloud computing, big data, internet of things, wireless sensor network, and data analytics.
Dac-Nhuong Le obtained his PhD in computer science from Vietnam National University, Vietnam in 2015. He is Deputy-Head of the Faculty of Information Technology, Haiphong University, Vietnam. His area of research includes evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT, and image processing in biomedicine. He has more than 50 publications and edited/authored 15 computer science books.
Prasant Kumar Pattnaik, PhD is a professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. He has published many research papers in peer-reviewed international journals and conferences and has authored many computer science books in the fields of data mining, robotics, graph theory, Turing machine, cryptography, security solutions in cloud computing, mobile computing, and privacy preservation.