Main ReferencePrice-based Resource Allocation for Edge Computing- A Market Equilibrium Approach, IEEE Transactions on Cloud Computing, 2018 [Java/EdgeCloudSim].
  • A framework is proposed for efficiently allocating resources of heterogeneous capacity-limited edge nodes to multiple competing services at the network edge. It generates a market equilibrium solution to maximize edge computing resource utilization and maintain budget constraints.

Description
  • A framework is proposed for efficiently allocating resources of heterogeneous capacity-limited edge nodes to multiple competing services at the network edge. It generates a market equilibrium solution to maximize edge computing resource utilization and maintain budget constraints.

  • To maximize the edge computing resource utilization and allocates optimal resource bundles to the services given their budget constraints.

Aim & Objectives
  • To maximize the edge computing resource utilization and allocates optimal resource bundles to the services given their budget constraints.

  • The scheduler model is considered the network congestion while scheduling task offloading.

Contribution
  • The scheduler model is considered the network congestion while scheduling task offloading.

  • 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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