-
Browse Book Series
- Adhesion and Adhesives: Fundamental and Applied Aspects
- Advances in Additive Manufacturing Technologies
- Advances in Antenna, Microwave and Communication Engineering
- Advances in Biofeedstocks and Biofuels
- Advances in Cyber Security
- Advances in Data Engineering and Machine Learning
- Advances in E-Mobility
- Advances in Hydrogen Production and Storage
- Advances in Intelligent and Scientific Computing (AISC)
- Advances in Learning Analytics for Intelligent Cloud-IoT Systems
- Advances in Membrane Processes
- Advances in Nanotechnology and Applications
- Advances in Natural Gas Engineering
- Advances in Pipes and Pipelines
- Advances in Production Engineering
- Advances in Solar Cell Materials and Storage
- Applied Functional Materials
- Artificial Intelligence and Soft Computing for Industrial Transformation
- Astrobiology Perspectives on Life in the Universe
- Bioprocessing in Food Science
- Computational Intelligence and Biomedical Engineering
- Concise Introductions to AI and Data Science
- Cyber Systems and Quantum Engineering
- Decentralized Systems and Next-Generation Internet
- Diatoms: Biology and Applications
- Digital Convergence in Engineering Systems
- Emerging Trends in Medicinal and Pharmaceutical Chemistry
- Engineering Systems Design for Sustainable Development
- Fintech in a Sustainable Digital Society
- Industry 5.0 Transformation Applications
- Infectious and Rare Diseases
- Innovations in Materials and Manufacturing
- Machine Learning in Biomedical Science and Healthcare Informatics
- Materials Degradation and Failure
- Mathematics and Computer Science
- Next-Generation Computing and Communication Engineering
- Performability Engineering Series
- Rotating Machinery Fundamentals and Advances
- Studies in Computational Intelligence and Smart Technologies
- Sustainable Computing and Optimization
Browse Subject Areas
For Authors
Submit a ProposalCloud Computing and Virtualization
 | By Dac-Nhuong Le, Raghvendra Kumar, Nguyen Gia Nhu, Jyotir Moy Chatterjee Copyright: 2018 | Status: Published ISBN: 9781119487906 | Hardcover | 232 pages | 48 illustrations Price: $195 USD  |
One Line Description
This book takes the industry beyond mere definitions of cloud computing and virtualization, grid and sustainability strategies, to casting them in day-to-day operations.
Audience
Computer scientists in academia and industry working on cloud computing. No matter the level of interest or experience, the reader will find clear value in this in-depth, vendor-neutral study of cloud computing and virtualization.
Computer scientists in academia and industry working on cloud computing. No matter the level of interest or experience, the reader will find clear value in this in-depth, vendor-neutral study of cloud computing and virtualization.
Description
In Cloud Computing and Virtualization, the authors take the reader from beginning to end with the essential elements of cloud computing, its history, innovation, and demands. Through case studies and architectural models, they articulate service requirements, infrastructure, security, and outsourcing of salient computing resources. The adoption of virtualization in data centers creates the need for a new class of networks designed to support elasticity of resource allocation, increasing mobile workloads and the shift to production of virtual workloads, requiring maximum availability.
Building a network that spans both physical servers and virtual machines with consistent capabilities demands a new architectural approach to designing and building the IT infrastructure. Performance, elasticity, and logical addressing structures must be considered as well as the management of the physical and virtual networking infrastructure. Once deployed, a network that is virtualization-ready can offer many revolutionary services over a common shared infrastructure. With virtualization, comes elasticity where computer capacity can be scaled up or down on demand by adjusting the number of virtual machines actively executing on a given physical server. Additionally, virtual machines can be migrated while in service from one physical server to another. Extending this further, virtualization creates “location freedom” enabling virtual machines to become portable across an ever-increasing geographical distance.
Back to Top
In Cloud Computing and Virtualization, the authors take the reader from beginning to end with the essential elements of cloud computing, its history, innovation, and demands. Through case studies and architectural models, they articulate service requirements, infrastructure, security, and outsourcing of salient computing resources. The adoption of virtualization in data centers creates the need for a new class of networks designed to support elasticity of resource allocation, increasing mobile workloads and the shift to production of virtual workloads, requiring maximum availability.
Building a network that spans both physical servers and virtual machines with consistent capabilities demands a new architectural approach to designing and building the IT infrastructure. Performance, elasticity, and logical addressing structures must be considered as well as the management of the physical and virtual networking infrastructure. Once deployed, a network that is virtualization-ready can offer many revolutionary services over a common shared infrastructure. With virtualization, comes elasticity where computer capacity can be scaled up or down on demand by adjusting the number of virtual machines actively executing on a given physical server. Additionally, virtual machines can be migrated while in service from one physical server to another. Extending this further, virtualization creates “location freedom” enabling virtual machines to become portable across an ever-increasing geographical distance.
Back to Top
Author / Editor Details
Dac-Nhuong Le obtained his PhD in computer science from Vietnam National University, Vietnam in 2015. He is Deputy-Head of 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 biomedical. He has authored 4 computer science books and has multiple research articles in international journals.
Dac-Nhuong Le obtained his PhD in computer science from Vietnam National University, Vietnam in 2015. He is Deputy-Head of 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 biomedical. He has authored 4 computer science books and has multiple research articles in international journals.
Raghvendra Kumar completed his PhD in the Faculty of Engineering and Technology, Jodhpur National University, India. He has authored several research papers in Scopus indexed and impact factor research journals\international conferences as well as 6 authored and 9 edited books on computer science. His areas of interest include wireless sensor network (WSN), Internet of Things, mobile application programming, ad hoc networks, cloud computing, big data, mobile computing, data mining and software engineering.
Nguyen Gia Nhu, received the PhD degree in computer science from Ha Noi University of Science, Vietnam National University, Vietnam. He is now the Vice Dean of Graduate School at- Duy Tan University. He has more than 40 publications in reputed international conferences, journals and book chapter contributions. His research interests include algorithm theory, network optimization and wireless security.
Jyotir Moy Chatterjee is working as an Assistant Professor in the Department of Computer Science and Engineering at GD-RCET, Bhilai, C.G, India. He received his M.Tech from KIIT University, Bhubaneswar, Odisha and B.Tech in Computer Science & Engineering from Dr. MGR Educational & Research Institute University, Chennai, (Tamil Nadu). His research interests include cloud computing, big data, privacy preservation and data mining.
Back to Top
Table of Contents
Preface
1 Live Virtual Concept in Cloud Environment
2 Live Virtual Machine Migration in Cloud
3 Attacks and Policies in Cloud Computing and Live Migration
4 Live Migration Security in Cloud
5 Solution for Secure Live Migration
6 Dynamic Load Balancing Based on Live Migration
7 Live Migration in Cloud Data Center
8 Trusted VM-vTPM Live Migration Protocol in Clouds
9 Lightweight Live Migration
10 Virtual Machine Mobility with Self Migration
11 Different Approaches for Live Migration
12 Migrating Security Policies in Cloud
13 Case Study
Back to Top
Preface
1 Live Virtual Concept in Cloud Environment
2 Live Virtual Machine Migration in Cloud
3 Attacks and Policies in Cloud Computing and Live Migration
4 Live Migration Security in Cloud
5 Solution for Secure Live Migration
6 Dynamic Load Balancing Based on Live Migration
7 Live Migration in Cloud Data Center
8 Trusted VM-vTPM Live Migration Protocol in Clouds
9 Lightweight Live Migration
10 Virtual Machine Mobility with Self Migration
11 Different Approaches for Live Migration
12 Migrating Security Policies in Cloud
13 Case Study
Back to Top