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Optimal Computational Power Allocation in Multi-Access Mobile Edge Computing for Blockchain.

Yuan Wu1,2, Xiangxu Chen3, Jiajun Shi4

  • 1College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China. iewuy@zjut.edu.cn.

Sensors (Basel, Switzerland)
|October 18, 2018
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Summary
This summary is machine-generated.

Mobile terminals can use multi-access mobile edge computing (MEC) to offload blockchain mining workloads. This approach balances computational gains with resource costs, maximizing social net-reward and ensuring fairness.

Keywords:
Blockchaincomputational power allocationmobile edge computingmulti-accessoptimization

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Network Engineering

Background:

  • Blockchain technology relies on computationally intensive proof-of-work (PoW) mining.
  • Mobile terminals (MTs) face significant computational limitations for PoW mining.
  • Mobile edge computing (MEC) offers a solution by offloading computational tasks.

Purpose of the Study:

  • To investigate the trade-off between computational resource acquisition and cost in MEC-assisted blockchain mining.
  • To maximize the social net-reward for mobile terminals participating in blockchain mining.
  • To ensure fairness among mobile terminals utilizing edge computing resources.

Main Methods:

  • Formulation of an optimization problem to determine optimal computational resource allocation from edge servers (ESs).
  • Development of efficient distributed algorithms to address the non-convexity of the optimization problem.
  • Analysis of the trade-off between computational offloading and associated costs.

Main Results:

  • Proposed distributed algorithms enable MTs to individually determine optimal computational resource acquisition from different ESs.
  • Validation of the effectiveness of the proposed algorithms through numerical results.
  • Demonstration of the performance benefits of multi-access MEC for blockchain mining.

Conclusions:

  • Multi-access MEC is a viable and effective approach for enhancing blockchain mining participation by mobile terminals.
  • The proposed optimization framework and algorithms successfully address the challenges of resource allocation and cost management.
  • This research contributes to improving the efficiency and accessibility of blockchain mining for mobile users.