You can find the PDF version of the book on various online platforms, such as:
An overview of major providers like Amazon Web Services (AWS) , Microsoft Azure , and Google Cloud Platform (GCP) .
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Features case studies on image processing, live streaming, and social network analytics. Part III: Specialized Aspects & Advanced Topics : Explores complex cloud environments and emerging fields: Cloud security and application benchmarking. Multimedia applications and big data analytics. You can find the PDF version of the
The textbook is used in numerous college and university courses around the world. For example, a course at the University of Beira Interior (Portugal) uses it to teach scalable and reliable application development. A syllabus from a Greek institution requires students to read Chapter 2 on cloud concepts and technologies, followed by solving the review exercises. Another course plan suggests labs in weeks 2‑3 (Chapters 2 and 3) where students set up accounts on AWS, Google Cloud, and Windows Azure. A course at a Japanese university uses the book to cover service models (IaaS, PaaS, SaaS), deployment models, and hands‑on cloud account setup. The book is also referenced in the Johns Hopkins University course “605.635.81 – Cloud Computing,” which covers virtualization, elastic computing, cloud storage, cloud security, and architecting/deploying cloud apps.
Case studies in IT, healthcare, transportation, networking, and education illustrate real‑world implementations. The appendices help readers set up an Ubuntu virtual machine and the Django web framework, providing a ready‑to‑use environment for completing the exercises.
: Each abstract theoretical pillar is immediately accompanied by a practical implementation strategy, complete with tested code samples. I'll follow the search plan provided
Available on Amazon.in for approximately ₹4,420 to ₹4,515 .
End-user applications delivered over the web (e.g., Microsoft 365). 2. Virtualization and Data Centers
Guides readers through actual implementation using mainstream cloud providers, frameworks, and programming languages. I'll open the relevant results to extract detailed
The book is divided into 12 chapters, covering the following topics:
Part I covers the foundational technologies that make cloud computing possible:
When searching for digital versions, legally acquiring the textbook through official academic libraries, university institutional access, or authorized e-book retailers is highly recommended. Authorized digital copies ensure readers receive the complete technical appendices, errata updates, and full access to the companion code repositories. These repositories host the exact Python scripts, Java programs, and deployment configurations required to successfully complete the book's hands-on lab exercises.
: Write algorithms that detect high traffic and automatically duplicate server instances to handle the load.