Abstract

Cloud, grid, parallel, volunteer, and opportunistic computing are different forms of distributed computing and each of these concepts addresses different problems in data analysis. One of the latest virtualization technologies, containerization, provides new capabilities with a thin layer on end-user desktop computers in the field of distributed computing. From the viewpoint of management information systems, the information is the key element in decisionmaking processes, and in the age of the Internet the information that is necessary for organizations is accessible from publicly available open sources. Every organization needs to operate an open-source intelligence process to use the open-source data in different levels of management. However, the problem is that each organization needs data scientists and hardware and software resources to fulfill this requirement. Big enterprise companies or governments can make an investment to solve this problem, but small and medium-sized enterprises or small institutions may not have enough budget. A distributed microservice-based data analysis model with the technology of Docker containerization on the end-user computers is proposed.

摘要

云计算、网格计算、并行计算、志愿计算和机会计算是分布式计算的不同形式，这些概念中的每一个都解决了数据分析中的不同问题。最新的虚拟化技术之一，容器化，在分布式计算领域的终端用户台式计算机上提供了新的功能。从管理信息系统的角度来看，信息是决策过程中的关键要素，在互联网时代，组织所需的信息可以从公开的开源资源中获取。每个组织都需要运行一个开源智能流程，以在不同的管理级别使用开源数据。然而，问题是每个组织都需要数据科学家以及硬件和软件资源来满足这一要求。大企业公司或政府可以投资解决这个问题，但中小型企业或小型机构可能没有足够的预算。提出了一种基于分布式微服务的数据分析模型，在终端用户计算机上采用 Docker 容器化技术。