Title: Container-as-a-service architecture for business workflow

Authors: Ye Tao; Xiaodong Wang; Xiaowei Xu; Guozhu Liu

Addresses: School of Informatics Science and Technology, Qingdao University of Science and Technology, Qingdao, Shandong, China ' Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China ' Department of Computer Science and Technology, Ocean University of China, Qingdao, Shandong, China ' School of Informatics Science and Technology, Qingdao University of Science and Technology, Qingdao, Shandong, China

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.

Keywords: container; service computing; scientific workflow; BPEL for web services; Hadoop.

DOI: 10.1504/IJSPM.2018.091692

International Journal of Simulation and Process Modelling, 2018 Vol.13 No.2, pp.102 - 115

Available online: 02 May 2018 *

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