Course

PROFESSIONAL ELECTIVES

Electives in Cyber Physical Systems

Unit I

Introduction to Cloud Computing – Definition and evolution of cloud computing – Cloud computing service models: IaaS, PaaS, SaaS – Cloud deployment models: Public, Private, Hybrid, and Community Clouds – Benefits and challenges of cloud computing. Cloud Infrastructure and Services – Cloud computing architecture – Virtualization concepts – Storage solutions – Cloud networking and security.

Unit II

Infrastructure as a Service (IaaS) – IaaS concepts and components – Compute services – Storage services – Networking services – Security and identity services. Platform as a Service (PaaS) – PaaS concepts and components – Application development platforms – Data management services – Middleware services – Integration and deployment services. Software as a Service (SaaS) – SaaS concepts and components – SaaS application examples – SaaS development and delivery.

Unit III

Cloud Management and Monitoring – Cloud orchestration and automation – Cloud resource management. Cloud-Native Application Development – Microservices architecture – Monolithic vs. microservices architecture – Designing and implementing microservices. Containerization – Docker: container images, registries, and runtimes – Containerizing applications and managing dependencies – Multi-container applications and Docker Compose. Container Orchestration – Overview of platforms – Kubernetes: architecture, components, and concepts – Deploying and managing applications in Kubernetes – Service discovery, scaling, and rolling updates – Alternative orchestration platforms: Docker Swarm.

Pre-Requisite(s): 23CSEXXX Computer Networks

Course Objectives

• This course helps students to acquire a solid understanding of cloud computing fundamentals, including service and deployment models, to make informed decisions when selecting and implementing cloud-based solutions for various projects and scenarios.
• Learn and apply modern cloud-native application development techniques, such as microservices, containerization, and container orchestration, to build scalable, resilient, and efficient applications that leverage the full potential of cloud environments.
• Develop practical skills in managing and monitoring cloud deployments, focusing on orchestration, automation, and resource management, enabling students to optimize and maintain cloud-based solutions for improved performance, cost-effectiveness, and overall operational efficiency.

Course Outcomes

CO1: Understanding of core cloud computing concepts, service models, and deployment models, along with the

ability to identify the benefits and challenges associated with cloud computing.

CO2: Proficiency in utilizing cloud infrastructure and services with the ability to design and manage cloud

resources effectively.

CO3: Ability to develop and deploy cloud applications by incorporating knowledge of compute, storage, and

networking services.

CO4: Competence in cloud-native application development, including the design and implementation of

microservices, containerization with Docker, and container orchestration.

CO5: Proficiency in managing and monitoring cloud environments, encompassing cloud orchestration, automation,

and resource management techniques.

CO-PO Mapping

Evaluation Pattern: 70:30

Textbook(s)

Thomas Erl, Zaigham Mahmood, and Ricardo Puttini, “Cloud Computing: Concepts, Technology & Architecture”, Prentice Hall, 2013.

 Tom Laszewski, Kamal Arora, Piyum Zonooz, and Erik Farr, “Cloud Native Architectures: Design high-availability and cost-effective applications for the cloud”, Packt Publishing, 2018.

Reference(s)

Toby Velte, Anthony Velte, and Robert Elsenpeter, “Cloud Computing: A Practical Approach”, McGraw-Hill Education, 2009.

 Michael J. Kavis, “Architecting the Cloud: Design Decisions for Cloud Computing Service Models (SaaS, PaaS, and IaaS)”, Wiley, 2014.