Cloud Computing Week 9 NPTEL Assignment Answers 2025

NPTEL Cloud Computing Week 9 Assignment Answers 2024

1. In which of the following architectures, two or more partner clouds interoperate to aggregate their resources and provide users with a larger virtual infrastructure?

A) Hybrid/Bursting Architecture
B) Aggregated Architecture
C) Broker Architecture
D) Multiplier Architecture

Answer: B) Aggregated Architecture
Explanation: Aggregated Architecture involves multiple cloud providers combining resources to provide a unified infrastructure, enabling enhanced scalability and availability.


2. Select the correct statement(s) regarding offloading.

A) Offloading is a technique in which a server, an application, and the associated data are moved from the edge to the cloud.
B) Offloading augments the computing requirements of individuals or a collection of user devices.
C) Offloading from cloud to the edge can be achieved by server offloading.
D) Offloading from user device to edge can be achieved by application partitioning.

Answer: A, B, C
Explanation: Offloading generally involves moving compute-intensive tasks to higher-capacity systems. Server offloading moves from cloud to edge, helping with latency. Application partitioning also applies but typically involves user devices to edge, so D can be debated depending on context.


3. Fog computing is a model in which data, processing, and applications are concentrated in devices at the _______________ rather than existing almost entirely in the cloud.

a. fog
b. local node
c. network station
d. network edge

Answer: D) network edge
Explanation: Fog computing pushes computation closer to the edge of the network to reduce latency and improve real-time processing.


4. According to the service placement taxonomy in fog-edge computing, which of the following can be classified as online vs offline?

A) Control plan design
B) Placement characteristic
C) System dynamicity
D) Mobility support

Answer: B) Placement characteristic
Explanation: Placement characteristics deal with how and when services are deployed—whether decisions are made in real time (online) or in advance (offline).


5. Fog infrastructure consisting of IoT devices, Fog Nodes, and at least one Cloud Data Center never ensures scalability

a. True
b. False

Answer: B) False
Explanation: Fog architecture enhances scalability by distributing workloads across edge and cloud resources.


6. Cloud Federation should prefer maximum geographical separation.

a. True
b. False

Answer: A) True
Explanation: Geographic separation can enhance availability, disaster recovery, and regulatory compliance in cloud federations.


7. In which of the following cloud federation architectures, creation of cross-site networks and cross-site migration of VMs are used?

A) Loosely coupled federation
B) Partially coupled federation
C) Tightly coupled federation
D) None of the above

Answer: C) Tightly coupled federation
Explanation: Tightly coupled federations allow direct integration such as VM migration and cross-site networking for seamless operations.


8. What is(are) the application placement constraint(s) for fog nodes?

a. Network constraints
b. Interoperability
c. Resource constraints
d. None of these

Answer: A, C
Explanation: Application placement on fog nodes is mainly limited by available network bandwidth and device resource limitations like CPU, memory, and storage.


9. The __________ used for resource management in fog/edge computing are classified on the basis of data flow, control, and tenancy.

a. Algorithms
b. Architectures
c. Hardware
d. Infrastructure

Answer: B) Architectures
Explanation: Fog/edge computing architectures are designed based on how resources are controlled, how data flows, and who shares them (tenancy).


10. A CSP has little or no control over remote resources in case of:

a. Tightly Coupled Federation
b. Medium Coupled Federation
c. Loosely Coupled Federation
d. None of these

Answer: C) Loosely Coupled Federation
Explanation: In loosely coupled federations, cloud providers operate independently and share minimal control, making resource management decentralized.