Computational Resource Allocation Strategy in a Public Blockchain Supported by Edge Computing

Sujie Shao,Weichao Gong,Shaoyong Guo,Xuesong Qiu,Feng-Jang Hwang

doi:10.1155/2021/8851121

Abstract

Blockchain, as an emerging distributed data management technology, has attracted extensive attention in recent years. In particular, a public blockchain network can ensure data security by addressing computationally intensive cryptographic tasks. Therefore, for node devices, sufficient computing power is required. However, mobile devices with limited computing power do not meet the conditions required by public blockchain network applications (OZEX, CoininAsia, BitRewards, etc.). To copy with the mentioned problems, nodes can offload computing tasks to edge computing services with low latency. This paper mainly focuses on the trade between edge computing providers (ECP) and nodes. We build a computational resource market model based on auction. Meanwhile, we propose two strategies to deal with two methods of offloading to achieve higher system profit. We also prove that the proposed strategy has individual rationality, authenticity under resource constraints. The simulation results have significance for administrators of a public blockchain network to improve the efficiency of computing resource allocation.

Highlights

Since blockchain was first proposed in 2008, it has gradually expanded from cryptographic digital currencies to innovative applications in all walks of life [1]
In order to achieve the goal, we propose an edge computing resource market model based on auction for a public blockchain network
We mainly introduce the auction strategy that the system executes when the computing task is offloaded to edge computing providers (ECP) or light nodes

Summary

Introduction

Since blockchain was first proposed in 2008, it has gradually expanded from cryptographic digital currencies to innovative applications in all walks of life [1]. The task is to compute a cryptographic security-related nonce value that leads the hash of the nonce and block data to be less than a given upper limit (depending on the mining difficulty). This calculation process is called mining [5], and the nodes that complete tasks to reach consensus are called miners. Miners broadcast transactions on the network after calculating the nonce value. Data which is packaged by the node that calculates the nonce value fastest can be added to the blockchain. The reward consists of a fixed bonus and a variable transaction fee [6]

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