Visible to the public Research on Cloud Workflow Engine Supporting Three-Level Isolation and Privacy Protection

TitleResearch on Cloud Workflow Engine Supporting Three-Level Isolation and Privacy Protection
Publication TypeConference Paper
Year of Publication2019
AuthorsHuang, Hua, Zhang, Yi-lai, Zhang, Min
Conference Name2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)
Date Publishedmay
ISBN Number978-1-7281-0006-7
Keywordsbusiness data processing, ceramic cloud service platform, cloud computing, cloud workflow, cloud workflow engine, cloud workflow model, cloud workflow systems, composability, data privacy, Human Behavior, human factors, Java, jBPM4 engine, mass tenant workflow instances, Metrics, privacy, privacy protection, pubcrawl, resilience, Resiliency, three-level isolation, virtualization privacy, workflow engine, workflow management software
Abstract

With the development of cloud computing, cloud workflow systems are widely accepted by more and more enterprises and individuals (namely tenants). There exists mass tenant workflow instances running in cloud workflow systems. How to implement the three-level (i.e., data, performance, execution ) isolation and privacy protection among these tenant workflow instances is challenging. To address this issue, this paper presents a novel cloud workflow model supporting multi-tenants with privacy protection. With the presented model, a framework of cloud workflow engine based on the extended jBPM4 is proposed by adopting layered management thought, virtualization technology and sandbox mechanism. By extending the jBPM4 (java Business Process Management) engine, the prototype system of the proposed cloud workflow engine is implemented and applied in the ceramic cloud service platform (denoted as CCSP). The application effect demonstrates that our proposal can be used to implement the three-level isolation and privacy protection between mass various tenant workflow instances in cloud workflow systems.

URLhttps://ieeexplore.ieee.org/document/8819464/
DOI10.1109/BigDataSecurity-HPSC-IDS.2019.00038
Citation Keyhuang_research_2019