Deep Reinforcement Learning for Cloud-Edge

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What is the main advantage of using edge nodes in a cloud-edge environment?

  • They are more cost-effective than cloud nodes
  • They offer low-latency, high-bandwidth services to users (correct)
  • They provide higher processing power than cloud nodes
  • They can handle larger data loads than cloud nodes

Which of the following is NOT a common resource allocation technique in a collaborative cloud-edge environment?

  • Caching
  • Data replication (correct)
  • Task offloading
  • Load balancing

In a multi-edge-node scenario, what challenge arises in resource allocation?

  • The cloud and edge nodes must coordinate effectively (correct)
  • The edge nodes cannot communicate with each other
  • The cloud node must handle all resource allocation
  • The edge nodes are not powerful enough to handle resource allocation

What factor does NOT influence cloud resource allocation strategies?

<p>User location (A)</p> Signup and view all the answers

What is a unique characteristic of a public cloud environment?

<p>It offers different pricing modes for cloud services (A)</p> Signup and view all the answers

Which of the following is NOT a benefit of using machine learning algorithms in a collaborative cloud-edge approach?

<p>They can increase system complexity (C)</p> Signup and view all the answers

What type of cloud is dedicated to a single organization?

<p>Private cloud (A)</p> Signup and view all the answers

In the user-edge-cloud model, where are resources allocated?

<p>User devices, edge nodes, and cloud servers (C)</p> Signup and view all the answers

What is the focus of collaborative cloud-edge approaches?

<p>Optimizing system performance (C)</p> Signup and view all the answers

Which type of cloud is shared by multiple organizations?

<p>Public cloud (A)</p> Signup and view all the answers

What does EL tailored to specific use cases allow for?

<p>Evolve over time based on user demand and network conditions (C)</p> Signup and view all the answers

Why are collaborative cloud-edge approaches considered more effective?

<p>Better performance and efficiency (B)</p> Signup and view all the answers

What method is used to obtain the value of ω in the context described?

<p>Minimizing mean square error by gradient descent (B)</p> Signup and view all the answers

In the context provided, what refers to the parameters of the value network and deterministic policy network at step t?

<p>ωt and θt (C)</p> Signup and view all the answers

What does yt represent in the given context?

<p>Next state after taking a mixed action (B)</p> Signup and view all the answers

What does the loss function of the value network aim to minimize?

<p>Mean square error (A)</p> Signup and view all the answers

What information does the input to the Cost-Efficient Resource Allocation algorithm contain?

<p>User requests demands and spot instance unit cost in public cloud (C)</p> Signup and view all the answers

What does the edge node first need to obtain at the beginning of each iteration in the context provided?

<p>The state of the collaborative cloud-edge environment (st) (D)</p> Signup and view all the answers

In P-DQN, what is the goal of finding the corresponding parameters θ when ω is fixed?

<p>To estimate the parameter value xk(s) (A)</p> Signup and view all the answers

What is the primary function of the determined policy network xk(·; θ): S → X k in P-DQN?

<p>To estimate the parameter value xk(s) (D)</p> Signup and view all the answers

What is the role of the neural network parameter ω in P-DQN?

<p>To estimate the parameter value xk(s) (C)</p> Signup and view all the answers

What does Q (s, k, xk) represent in P-DQN?

<p>The target Q value estimation (A)</p> Signup and view all the answers

Which component is used in P-DQN to estimate Q (s, k, xk) and find the corresponding parameters?

<p>Deep neural network Q (s, k, xk; ω) (B)</p> Signup and view all the answers

What does P-DQN aim to estimate through the determined policy network xk(·; θ): S → X k?

<p>The parameter value xk(s) (C)</p> Signup and view all the answers

At time slot (t = 1), how many VMs were allocated from the edge node?

<p>12 (B)</p> Signup and view all the answers

What is the cost at the private cloud at time slot (t = 2)?

<p>$26.97 (D)</p> Signup and view all the answers

How many VMs were available at the edge node at time slot (t = 2)?

<p>59 (D)</p> Signup and view all the answers

What is the number of VMs waiting to be released at time slot (t = 2)?

<p>21 (B)</p> Signup and view all the answers

How many VMs were allocated from the edge node at time slot (t = 3)?

<p>4 (D)</p> Signup and view all the answers

What is the total cost at the public cloud at time slot (t = 3)?

<p>$51.08 (B)</p> Signup and view all the answers

How many VMs were allocated from the cloud at time slot (t = 1)?

<p>12 (D)</p> Signup and view all the answers

What is the cost at the edge node at time slot (t = 2)?

<p>$5.97 (B)</p> Signup and view all the answers

How many VMs were remaining at the edge node at time slot (t = 3)?

<p>76 (C)</p> Signup and view all the answers

What is the updated Allocation Record List H after time slot (t = 2)?

<p>&lt; h&quot; , h&amp; &gt; : &lt; 18, 1 , (3, 0) &gt; (C)</p> Signup and view all the answers

Flashcards are hidden until you start studying

More Like This

Use Quizgecko on...
Browser
Browser