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Resource Allocation for Edge Computing without Using Cloud Center in Smart Home Environment: A Pricing Approach.

Huan Liu1, Shiyong Li1, Wei Sun1

  • 1School of Economics and Management, Yanshan University, Qinhuangdao 066004, China.

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|November 19, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a market model for smart homes using edge computing, optimizing resource allocation for user utility. A pricing-based algorithm ensures efficient resource distribution without relying on cloud centers.

Keywords:
edge computingresource allocationresource pricingsmart homesutility optimization

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Smart home applications are increasingly prevalent but often isolated, relying on centralized cloud platforms.
  • Cloud-based smart homes face challenges with link congestion and data security risks.
  • Edge computing offers a decentralized alternative for future smart home infrastructure.

Purpose of the Study:

  • To develop a resource allocation model for smart homes utilizing edge computing.
  • To maximize user utility within a smart home environment through a market-based approach.
  • To address the limitations of cloud-centric smart home architectures.

Main Methods:

  • Formulated a pricing resource allocation model with utility maximization for edge nodes and users.
  • Applied the Lagrangian method for model analysis.
  • Developed a pricing-based resource allocation algorithm incorporating a low-pass filtering scheme.

Main Results:

  • The edge node (provider) allocates resources based on resource prices and user utility preferences.
  • The proposed algorithm demonstrates optimal resource allocation.
  • Numerical examples confirm the algorithm's effectiveness and reasonable convergence times.

Conclusions:

  • Edge computing provides a viable, decentralized solution for smart home resource management.
  • The developed pricing-based model and algorithm effectively optimize resource allocation and user utility.
  • This approach enhances smart home infrastructure by mitigating cloud-related risks.