Affiliation:
1. Zhejiang University, Hangzhou, China
2. Shanghai University, Hangzhou, China
Abstract
Blockchain is regarded as one of the most promising technologies to upgrade e-commerce. This article analyzes the challenges that current e-commerce is facing and introduces a new scenario of e-commerce enabled by blockchain. A framework is proposed for mining tasks in this scenario offloaded onto edge servers based on mobile edge computing. Then, the offloading issue is modeled as a multi-constrained optimization problem, and evolutionary algorithms are utilized and re-designed as solvers. The experimental results validate the efficiency of the framework and algorithms and also show that the lower bound of computation resources exists to obtain the maximum overall revenue.
Funder
National Science Foundation of China
Natural Science Foundation of Zhejiang Province
National Key Research and Development Program of China
Key Science and Technology Innovation Plan of Hangzhou
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications
Cited by
14 articles.
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