Sustainable Green Cloud Computing: Principles and Practices, Volume 2

Sustainable Green Cloud Computing: Principles and Practices (Applied Machine Learning for IoT and Data Analytics) book cover

Sustainable Green Cloud Computing: Principles and Practices

(Applied Machine Learning for IoT and Data Analytics)

Author(s): N. Suresh Kumar (Author), T. Dhiliphan Rajkumar (Author), T. Ananth Kumar (Author), S. Balamurugan (Author)

  • Publisher Finelybook 出版社: Bentham Science Publishers
  • Publication Date 出版日期: April 23, 2026
  • Language 语言: English
  • Print length 页数: 128 pages
  • ASIN: B0H127KLNV
  • ISBN-13: 9798898813925

Book Description

Sustainable Green Cloud Computing: Principles and Practices offers a comprehensive and analytically grounded examination of cloud computing through the lens of sustainability, security, and modern software engineering. Addressing the growing environmental and operational challenges associated with large-scale digital infrastructure, this volume integrates green computing principles with cloud service design, virtualization technologies, and secure programming practices. It provides a structured framework for developing cloud systems that are efficient, scalable, environmentally responsible and resilient.

The book begins with foundational concepts in cloud computing within a green computing environment, examining how SaaS, IaaS, and PaaS models contribute to optimized resource utilization and reduced carbon footprints. It then explores cloud service stacks and business models, including layered service architectures and financial perspectives that shape deployment strategies. Dedicated chapters analyze virtualization technologies, outlining their benefits, limitations, and implementation best practices. A detailed treatment of cloud security architecture addresses trusted computing, identity and access management, virtualization security, and autonomic protection mechanisms. The final section presents practical programming applications and software packages, including Java-based systems for data mining, plagiarism detection, and real-time communication.

Balancing theoretical foundations with applied knowledge, this book serves as a valuable reference for students, researchers, educators, and industry professionals seeking sustainable and secure cloud computing solutions.

Key Features:

– Balances Theory and Applications.

– Gives an overview of computing models and architectures.

– Includes notes on packages and programming tools.

– Provides References for advanced readers.

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