摘要
随着互联网技术的高度发展,数字社会已然成型,为满足海量数据的多样化处理需求,人们在分布式计算技术的基础上开发出云计算、雾计算、边缘计算等多种分布式并行计算解决方案。但目前各类计算平台框架需要部署大规模计算集群,并采用中心化集成化管理方式,存在部署运维成本高、数据安全性和隐私性风险大等问题。为解决上述问题,将区块链技术和Map-Reduce框架结合起来,研究提出一个计算环境可信、计算过程可追溯、计算结果安全隐私的可信分布式计算解决方案。
At present,all kinds of distributed computing frameworks need to deploy large-scale computing clusters and adopt centralized and integrat⁃ed management mode,which has the problems of high deployment cost,high data security and privacy risks.In order to solve the above problems,the author combines blockchain technology and Map-Reduce framework,and proposes a trusted distributed computing solution with trusted computing environment,traceable computing process and secure and private computing results.
作者
许亮
XU Liang(College of Computer Science,Sichuan University,Chengdu 610065)
出处
《现代计算机》
2021年第11期43-47,共5页
Modern Computer
关键词
分布式计算
区块链
可信
Distributed Computing
Blockchain
Trusted