CLOUD COMPUTING (Professional Elective - IV) IV Year B.Tech. CSE I -Sem JNTUH R-18

1. Compare and contrast different computing paradigms like parallel computing, grid computing, and cloud computing, highlighting their strengths and limitations.

2. Explain how cloud computing has emerged as a dominant paradigm and discuss its potential impact on future computing trends.

3. Analyze the role of biocomputing, mobile computing, and other emerging technologies in the context of cloud computing.

4. Describe the concept of quantum computing and explore its potential for revolutionizing certain cloud-based applications.

5. Discuss the advantages and challenges of using specialized computing technologies like optical computing and nanocomputing in cloud environments.

Unit 2: Cloud Computing Fundamentals:

1. Explain the driving forces behind the rise of cloud computing and discuss the key benefits it offers over traditional computing models.

2. Analyze different definitions of cloud computing, emphasizing its core characteristics like on-demand self-service, elasticity, and measured service.

3. Compare and contrast cloud computing as a service (CaaS) with different delivery models like infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).

4. Evaluate the different deployment models of cloud computing (public, private, hybrid, and community) and their suitability for specific scenarios.

5. Identify potential security and privacy concerns associated with cloud computing and discuss how they can be mitigated through proper safeguards.

Unit 3: Cloud Computing Architecture and Management:

1. Describe the layered architecture of a typical cloud computing system, covering aspects like virtualization, resource management, and networking.

2. Explain the role of network connectivity in cloud computing and discuss various options like VPNs, dedicated connections, and public internet access.

3. Analyze the challenges of managing cloud infrastructure and applications, including resource allocation, performance monitoring, and cost optimization.

4. Discuss different approaches for migrating existing applications to the cloud and identify key factors to consider for a successful migration.

5. Evaluate the benefits and drawbacks of employing different phases in cloud migration strategies, such as planning, assessment, pilot testing, and deployment.

Unit 4: Cloud Service Models:

1. Analyze the characteristics of IaaS and discuss its suitability for scenarios requiring control over underlying infrastructure.

2. Evaluate the pros and cons of using PaaS for application development and deployment, considering factors like vendor lock-in and flexibility.

3. Discuss the potential benefits and limitations of SaaS for business users, focusing on accessibility, scalability, and maintenance.

4. Explore emerging cloud service models beyond IaaS, PaaS, and SaaS, such as Function as a Service (FaaS) and Database as a Service (DBaaS).

5. Compare and contrast cloud offerings from major providers like Google Cloud Platform, Amazon Web Services, and Microsoft Azure, considering factors like pricing, features, and security.

Unit 5: Cloud Service Providers:

1. Analyze the services offered by leading cloud providers like EMC, Google, Amazon, and Microsoft, focusing on their specific strengths and target audiences.

2. Evaluate the capabilities of popular cloud storage solutions like Google Cloud Storage and Amazon S3, considering factors like data durability, access latency, and cost.

3. Discuss the features and benefits of cloud-based application platforms like Google App Engine and Amazon Elastic Beanstalk for developers.

4. Explore the cloud services offered by SAP and Salesforce, emphasizing their relevance for enterprise cloud solutions and business applications.

5. Analyze the potential of virtualization technologies like VMware and Manjra Soft in the context of cloud infrastructure and resource management.