Software-Defined Cloud Centers by Pethuru Raj
This practical text/reference provides an exhaustive guide to setting up and sustaining software-defined data centers (SDDCs). Each of the core elements and underlying technologies are explained in detail, often supported by real-world examples. The text illustrates how cloud integration, brokerage, and orchestration can ensure optimal performance and usage of data resources, and what steps are required to secure each component in a SDDC. The coverage also includes material on hybrid cloud concepts, cloud-based data analytics, cloud configuration, enterprise DevOps and code deployment tools, and cloud software engineering.
Topics and features: highlights how technologies relating to cloud computing, IoT, blockchain, and AI are revolutionizing business transactions, operations, and analytics; introduces the concept of Cloud 2.0, in which software-defined computing, storage, and networking are applied to produce next-generation cloud centers; examines software-defined storage for storage virtualization, covering issues of cloud storage, storage tiering, and deduplication; discusses software-defined networking for network virtualization, focusing on techniques for network optimization in data centers; reviews the qualities and benefits of hybrid clouds, that bridge private and public cloud environments; investigates the security management of a software-defined data center, and proposes a framework for managing hybrid IT infrastructure components; describes the management of multi-cloud environments through automated tools, and cloud brokers that aim to simplify cloud access, use and composition; covers cloud orchestration for automating application integration, testing, infrastructure provisioning, software deployment, configuration, and delivery.This comprehensive work is an essential reference for all practitioners involved with software-defined data center technologies, hybrid clouds, cloud service management, cloud-based analytics, and cloud-based software engineering.-
Guide to Computer Network Security
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The Internet of Things in the Industrial Sector
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Future Wireless and Optical Networks
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Privacy and Security for Cloud Computing
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Grid Computing
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Coverage Control in Sensor Networks
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Application and Multidisciplinary Aspects of Wireless Sensor Networks
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Crossbar-Based Interconnection Networks
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The Essential PIC18 (R) Microcontroller
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802.11 Wireless Networks
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Social Media Retrieval
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Wireless Sensors in Industrial Time-Critical Environments
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Guide to Voice and Video over IP
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Distributed Real-Time Systems
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Smart Cities
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Guide to Vulnerability Analysis for Computer Networks and Systems
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Grids, Clouds and Virtualization
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Industrial Sensors and Controls in Communication Networks
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Opportunistic Mobile Networks
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Privacy in a Digital, Networked World
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Guide to Cloud Computing
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High-Performance Big-Data Analytics
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Pervasive Computing
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Scheduling for Parallel Processing
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Communication Networks for Smart Grids
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Big Data Platforms and Applications
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Guide to Flow-Aware Networking
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Algorithms for Next Generation Networks
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The Quintessential PIC Microcontroller
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6G Mobile Wireless Networks
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Guide to Wireless Mesh Networks
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Networked RFID
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Automated Workflow Scheduling in Self-Adaptive Clouds
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Computational Social Network Analysis
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Resilient Routing in Communication Networks
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Real-Time Artificial Intelligence (AI)
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Edge 2.0: Generative AI at Edge
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AI Innovations for Improving the Food Industry
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Vision Language Models for Next-Generation Healthcare
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Artificial Intelligence for Precision Agriculture
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Edge AI for Industry 5.0 and Healthcare 5.0 Applications
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Applying Drone Technologies and Robotics for Agricultural Sustainability
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Internet of Things Use Cases for the Healthcare Industry
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Cloud Enterprise Architecture
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Cloud Infrastructures for Big Data Analytics
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Blockchain, Artificial Intelligence, and the Internet of Things
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Illustrating Digital Innovations Towards Intelligent Fashion
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Industry Automation: The Technologies, Platforms and Use Cases
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Novel Practices and Trends in Grid and Cloud Computing
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High-Performance Big-Data Analytics
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Blockchain Technology and Applications
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Applied Edge AI
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Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science
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Building Embodied AI Systems: The Agents, the Architecture Principles, Challenges, and Application Domains
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Machine Intelligence
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Artificial Intelligence Technologies for Smart and Sustainable Urban Transportation
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Real-Time Intelligence Through Edge AI Technologies and Tools
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Interpretable and Trustworthy AI
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Vector Databases for the Next-Generation Generative AI Systems
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Engineering the Metaverse
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Intelligent Cities
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Cloud-native Computing
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Quantum Computing and Artificial Intelligence
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Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity Solutions
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Learning Docker
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Explainable Artificial Intelligence (XAI)
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The Internet of Things
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The Internet of Things and Big Data Analytics
Dr. Pethuru Raj is Chief Architect of the Site Reliability Engineering (SRE) Division at Reliance Jio Infocomm Ltd. (RJIL), Bangalore, India. His other publications include the Springer titles Automated Workflow Scheduling in Self-Adaptive Clouds and (with Mrs. Raman) High-Performance Big-Data Analytics.
Mrs. Anupama Raman works at Flipkart Internet India Pvt Ltd, Bangalore, India.
| SKU | Unavailable |
| ISBN 13 | 9783030087524 |
| ISBN 10 | 3030087522 |
| Title | Software-Defined Cloud Centers |
| Author | Pethuru Raj |
| Series | Computer Communications And Networks |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2019-01-03 |
| Number of pages | 242 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |