Edge Computing Week 5 NPTEL Assignment Answers 2025

NPTEL Edge Computing Week 5 Assignment Answers 2024

1. Mobile-edge Computing provides IT and cloud-computing capabilities within the ______ in close proximity to mobile subscribers.

• Radio Access Network
• Datacenter
• Local Area Network
• Cloudlet

Answer: Radio Access Network

Explanation:
Mobile-edge computing (MEC) brings computation and storage closer to the end user by integrating these capabilities at the Radio Access Network (RAN) level. This reduces latency and improves performance by processing data nearer to where it is generated.

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2. Select the characteristics of Mobile Edge Computing.

• Proximity
• Lower latency
• Location awareness
• Off-Premise

Answer: Proximity, Lower latency, Location awareness

Explanation:
MEC is characterized by its proximity to users (edge of the network), resulting in lower latency and better context awareness, such as user location. “Off-Premise” is not a core MEC characteristic.

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3. In case of VM based resources, the resource allocation problem has to deal with which of the following?

• Minimize execution delay of the offloaded application
• Minimize VM migration cost
• Maximize storage capacity of the VM
• Prevent resource overloading/overprovisioning

Answer: Minimize execution delay of the offloaded application, Minimize VM migration cost, Prevent resource overloading/overprovisioning

Explanation:
Efficient resource allocation in VM-based environments focuses on reducing execution delay, minimizing migration cost, and preventing overloading. Storage capacity maximization is not typically a direct objective of resource allocation policies.

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4. In a centralized deployment, the Small Cell Manager (SCM) can be deployed where a local SCM manages the computing and storage resources of the SCeNBs’ clusters in vicinity while a remote SCM (R-SCM), located in the CN, has resources of all SCeNBs connected to the Core-Network at its disposal. This statement is,

• True
• False

Answer: False

Explanation:
The given statement describes a hybrid model, not purely centralized. A centralized deployment would involve management only from a central entity without local SCMs.

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5. Where is the control entity located in Mobile Micro Clouds (MMC)?

• Mobile Management Entity
• Subscriber’s Server
• Any of the packet of serving gateway
• There is no control entity in MMC

Answer: There is no control entity in MMC

Explanation:
Mobile Micro Clouds (MMCs) operate in a decentralized and often ad-hoc manner, hence they don’t rely on a centralized control entity.

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6. Which of the following is a core entity in the MEC system level management according to ETSI MEC architecture?

• MEC server
• Mobile edge platform manager
• Mobile edge orchestrator
• Application lifecycle manager

Answer: Mobile edge orchestrator

Explanation:
According to ETSI, the Mobile Edge Orchestrator is responsible for global coordination and resource management within the MEC system, making it a core management entity.

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7. Select the objectives of task offloading out of the following.

• Energy
• Data Variety
• Response Time
• Device Mobility

Answer: Energy, Response Time

Explanation:
Task offloading aims to reduce energy consumption and improve response time by shifting workloads from mobile devices to edge/cloud resources. “Data variety” and “device mobility” are not primary objectives.

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8. The computation offloading decision is done at the User Equipment by means of a ________________.

• MEC server
• Task partitioning module
• Offloading policy module
• Channel state information module

Answer: Offloading policy module

Explanation:
This module on the user device evaluates network and device conditions and decides whether and when to offload tasks for optimized performance and energy use.

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9. In task offloading, _____________ is responsible for monitoring various parameters, such as available bandwidth, data size to be offloaded or energy spent by execution of the applications locally.

• The code profiler
• The system profiler
• The decision engine
• The offloading module

Answer: The system profiler

Explanation:
The system profiler collects real-time data about system performance and environmental variables, which supports intelligent offloading decisions.

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10. In the ___________ process, the MEC system can split a cluster into smaller clusters if the cluster is becoming overloaded, or merge smaller clusters into a larger cluster if the clusters are underutilized.

• Successive cluster optimization
• Static clustering
• Joint cluster optimization
• None of the above

Answer: Successive cluster optimization

Explanation:
This dynamic clustering method continuously evaluates system load and performance, optimizing the distribution of resources by splitting or merging clusters as needed.