Container-as-a-service architecture for business workflow. (2018)

• Record Type: Journal Article
• Authors: Tao, Ye; Wang, Xiaodong; Xu, Xiaowei; Liu, Guozhu
• Is Part Of: International journal of simulation and process modelling. Volume 13:Number 2(2018)
• Page Start: 102
• Page End: 115
• Publication Date: 2018
• Subjects: container -- service computing -- scientific workflow -- BPEL for web services -- Hadoop; Management -- Computer simulation -- Periodicals; Mathematical models -- Periodicals; Operations research -- Periodicals; Simulation methods -- Periodicals; 003.05
• Languages: English
• ISSNs: 1740-2123

Abstract

The massive amount of data makes the work of building a smart city more data-driven. However, due to volume, security and privacy reasons, data migration can be difficult in a large system. To build a bridge between data owners and data analysers, we present a container-as-a-service (CaaS) framework for service migration, which forms the infrastructures, applications and services for different vendors. By using containers, resources are virtualised and isolated to simplify the creation and deployment of multiple applications autonomously across multiple vendor systems. Inside a container, computational tasks and worker processes are encapsulated into web services, in order to leverage service-based workflow technologies to develop timely and effective workflows for a smart city environment. A use case of smart transportation is studied to evaluate the performance of the presented architecture. Results show that the approach can be beneficial to business workflow orchestration in regard to its flexibility and re-usability.