Main Reference PaperAutonomic computation offloading in mobile edge for IoT applications, Future Generation Computer Systems, 2018, [Java].
  • For handling the computation resource demand from the massive mobile devices, a deep Q-learning based autonomic management framework is proposed. The distributed edge/fog network controller (FNC) scavenging the available edge/fog resources, i.e., processing, memory, network to enable edge/fog computation service. The randomness in the availability of resources and numerous options for allocating those resources for offloading computation fits the problem appropriate for modeling through Markov decision process (MDP) and solution through reinforcement learning.

+ Description
  • For handling the computation resource demand from the massive mobile devices, a deep Q-learning based autonomic management framework is proposed. The distributed edge/fog network controller (FNC) scavenging the available edge/fog resources, i.e., processing, memory, network to enable edge/fog computation service. The randomness in the availability of resources and numerous options for allocating those resources for offloading computation fits the problem appropriate for modeling through Markov decision process (MDP) and solution through reinforcement learning.

  • To improve the performance of the computation offloading through minimizing the latency of service computing.

+ Aim & Objectives
  • To improve the performance of the computation offloading through minimizing the latency of service computing.

  • The total power consumption due to different offloading decisions is considered to improve the performance.

+ Contribution
  • The total power consumption due to different offloading decisions is considered to improve the performance.

  • Java Development Kit 1.8.0, MySQL 5.5.40

  • EdgeCloudSim, Netbeans8.0.1, J2SE.

+ Software Tools & Technologies
  • Java Development Kit 1.8.0, MySQL 5.5.40

  • EdgeCloudSim, Netbeans8.0.1, J2SE.

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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