Deep Reinforcement Learning for Cloud-Edge
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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</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</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</p> Signup and view all the answers

    What type of cloud is dedicated to a single organization?

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

    What is the focus of collaborative cloud-edge approaches?

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

    Which type of cloud is shared by multiple organizations?

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

    Why are collaborative cloud-edge approaches considered more effective?

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

    What does yt represent in the given context?

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

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

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

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

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

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

    <p>12</p> Signup and view all the answers

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

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

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

    <p>59</p> Signup and view all the answers

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

    <p>21</p> Signup and view all the answers

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

    <p>4</p> Signup and view all the answers

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

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

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

    <p>12</p> Signup and view all the answers

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

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

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

    <p>76</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;</p> Signup and view all the answers

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