Question 1

Q.1. Discuss the Ethical issue with reference to cloud computing.

Accepted Answer

Ethical issues in cloud computing include data privacy and confidentiality, ownership and control of data hosted on third-party infrastructure, transparency of provider practices, and accountability for data breaches or misuse.

Question 2

Q.2. List the various services provided by the cloud to the end user.

Accepted Answer

The cloud provides services to end users primarily through three service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), along with supporting services such as storage, database, and identity management.

Question 3

Q.3. Explain the benefits of virtualization.

Accepted Answer

Virtualization benefits include improved hardware utilization through consolidation, isolation between workloads, easier provisioning/migration of virtual machines, and reduced hardware/energy costs.

Question 4

Q.4. What are the cloud security requirements?

Accepted Answer

Cloud security requirements include data confidentiality (encryption at rest/in transit), integrity, availability, identity and access management, regulatory compliance, and secure multi-tenancy isolation between different customers sharing the same infrastructure.

Question 5

Q.5. Explain the data analysis application of cloud computing.

Accepted Answer

Cloud computing supports large-scale data analysis applications by providing on-demand, elastically scalable computing and storage resources for big data processing frameworks (such as Hadoop/Spark), enabling organizations to analyze massive datasets without owning dedicated high-capacity infrastructure.

Question 6

Q.1. Assess the broad approaches for migration into the cloud. Discuss the ch…

Accepted Answer

Cloud migration approaches range from simple rehosting ('lift and shift') through replatforming and refactoring to full cloud-native rearchitecting, each offering a different balance of migration speed/cost versus the degree to which the application is optimized for the cloud environment; key challenges include data security/compliance during transfer, application compatibility, downtime/business continuity risk, vendor lock-in, and cost management/unexpected billing complexity.

Question 7

Q.2. Explain the various features, characteristics and components of cloud co…

Accepted Answer

Cloud computing is characterized by on-demand self-service, broad network access, resource pooling (multi-tenancy), rapid elasticity, and measured (pay-per-use) service; its major components include the front-end (client interface), back-end (servers, storage, virtualization), and the network connecting them, delivered via the IaaS/PaaS/SaaS service models across public, private, hybrid, or community deployment models.

Question 8

Q.3. Explain parallel and distributed programming Paradigms in cloud computin…

Accepted Answer

Parallel programming paradigms (such as MapReduce) divide a computation into independent tasks that execute simultaneously on multiple processors within a single system, while distributed programming paradigms coordinate computation across multiple independent, networked machines, with cloud computing environments commonly using the MapReduce paradigm (as popularized by Hadoop) to process massive datasets by distributing map and reduce tasks across a large cluster of commodity machines.

Question 9

Q.4. Explain the various levels of virtualization. Differentiate between serv…

Accepted Answer

Virtualization occurs at multiple levels — instruction set, hardware abstraction, operating system, library, and application level — each virtualizing a different layer of the computing stack; server virtualization creates multiple isolated virtual server instances on shared physical server hardware for data-center workload consolidation, while desktop virtualization delivers a complete desktop operating system/environment remotely to an end-user's client device, typically hosted centrally and streamed to potentially many simultaneous users.

Question 10

Q.5. What is Business continuity planning (BCP)? Explain the importance & pro…

Accepted Answer

Business Continuity Planning (BCP) is the process of creating systems and procedures to ensure an organization's critical business functions can continue operating (or be quickly restored) during and after a disruptive event (disaster, outage, cyberattack); its importance in cloud computing stems from organizations' growing dependence on cloud services for critical operations, and its process involves business impact analysis, risk assessment, strategy development, plan documentation, and regular testing.

Question 11

Q.6. Describe system architecture of Aneka using suitable example.

Accepted Answer

Aneka is a .NET-based Platform-as-a-Service (PaaS) cloud application development and management framework whose architecture comprises a container-based runtime environment hosting pluggable services (scheduling, execution, storage, accounting) on each node, coordinated by a master node, supporting multiple parallel programming models (Task, Thread, MapReduce) to build and deploy applications across public, private, or hybrid cloud resources.

Question 12

Q.1. (a) Discuss the networking support for cloud computing? [5]

Accepted Answer

Networking support for cloud computing relies on virtualized, software-defined networking to flexibly interconnect widely distributed data-center resources and remote users with adequate bandwidth, low latency and strong security/isolation; the future of cloud computing points toward greater adoption of edge computing, serverless architectures, AI-driven cloud management, and multi-cloud/hybrid-cloud strategies; VMware's Hypervisor (ESXi) is a bare-metal (Type-1) hypervisor that runs directly on physical server hardware, creating and managing multiple isolated virtual machines without requiring a separate host operating system.

Question 13

Q.2. (a) Explain various service layer in layered architecture of cloud with …

Accepted Answer

The layered architecture of cloud computing typically comprises the physical/data-center layer, infrastructure layer (IaaS), platform layer (PaaS), and application/software layer (SaaS), each layer building upon and abstracting the layer below it to progressively expose higher-level, more managed functionality to end users; Hadoop is an open-source framework, based on the MapReduce programming model and the Hadoop Distributed File System (HDFS), for reliable, scalable, distributed storage and processing of massive datasets across clusters of commodity hardware.

Question 14

Q.3. (a) What is Google App? Explain the architecture of Google App Engine in…

Accepted Answer

Google App is a suite of cloud-based productivity and platform services offered by Google, with Google App Engine specifically being a fully-managed Platform-as-a-Service allowing developers to build and deploy web applications on Google's infrastructure, with the platform automatically handling scaling, load balancing, and infrastructure management; trust management in cloud computing addresses establishing and verifying confidence in the reliability, security, and honesty of cloud service providers and other parties, typically through mechanisms such as reputation systems, service-level agreements, third-party certifications, and cryptographic verification.

Cloud Computing