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Course Content
MODULE 1
0/8
Q1. Explain the evolution of computing technology and its shift from centralized computing to parallel and distributed systems
04:31
Q2. Differentiate between High-Performance Computing (HPC) and High-Throughput Computing (HTC) with suitable examples
04:25
Q3.Describe the major computing paradigms
04:05
Q4. Explain the key trends in scalable computing and how they influence parallelism in modern architectures
05:50
Q5.Discuss different degrees of parallelism with examples.
05:42
Q6.Describe different technologies that enable network-based systems in cloud computing.
07:42
Q7. VM Operations
02:12
Q8.Explain the concept of virtual machines (VMs) and describe different VM architectures such as Native VM, Host VM, and Hybrid VM.
04:58
MODULE 2
0/12
1. Explain the different levels of virtualization and their advantages.
08:00
2. Compare Type-1 and Type-2 hypervisors with real-world examples.
07:54
3. How do virtual clusters contribute to cloud resource management?
07:33
4. Evaluate the security risks associated with virtualization and propose mitigation strategies.
5. How does virtualization improve cloud data center automation?
6. Discuss the role of CPU, memory, and I/O virtualization in optimizing cloud performance.
7. How can container-based virtualization outperform traditional VMs in cloud environments?
8. What is hardware-assisted virtualization? Discuss how Intel VT-x and AMD-V enhance virtualization performance
9. Describe OS-level virtualization. What are its advantages and limitations in cloud computing?
10. Explain the concept of memory virtualization. How do shadow page tables and nested paging optimize performance?
11. Describe I/O virtualization. Compare full device emulation, para-virtualization, and direct I/O access methods.
12. What are the major challenges in CPU virtualization? How does the x86 architecture handle these challenges?
MODULE 3
0/12
1. Differentiate between Public Cloud, Private Cloud, Hybrid Cloud models. Discuss their advantages and disadvantages.
07:05
2. Explain the three main cloud service models (IaaS, PaaS, and SaaS). Provide examples for each.
06:11
3. Explain the typical data center networking structure. How does it support scalability, high availability, and performance in cloud environments?
06:24
4. What are the various design objectives of Cloud Computing?
03:16
5. Describe the components of a cloud ecosystem. How do these components support scalability and efficiency?
07:11
6. Explain Infrastructure as a Service (IaaS) in the context of cloud computing. How does Amazon VPC support multi-tenant cloud environments under IaaS?
08:58
7. Explain Platform as a Service (PaaS) in cloud computing. How does Google App Engine (GAE) implement the PaaS model to support application development?
07:29
8. What are the challenges in designing warehouse-scale cloud data centers?
9. Discuss the importance of data center interconnection networks in cloud computing.
10. Explain the Fat-Tree interconnection topology used in data center networks. How does it ensure scalability and fault tolerance in cloud environments?
11. Explain Interconnection of modular Data Centers with example
12. What is Inter-Module Connection network. Explain with an example
MODULE 4(coming soon)
MODULE 5(cominig soon)
CLOUD COMPUTING || CSE stream || Very Important Questions Explained with Concepts || All 5 modules || Last moment exam (BCS601) preparation
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