TY - GEN
T1 - Scalable and trustworthy cross-enterprise WfMSs by cloud collaboration
AU - Hwang, Gwan Hwan
AU - Kao, Yi Chan
AU - Hsiao, Yu Cheng
PY - 2013
Y1 - 2013
N2 - Establishing scalable and cross-enterprise workflow management systems (WfMSs) in the cloud requires the adaptation and extension of existing concepts for process management. This paper proposes a scalable and cross-enterprise WfMS with a multitenancy architecture. Especially, it can activate enactment of workflow processes by cloud collaboration. We do not employ the traditional engine-based WfMSs. The key idea is to have the workflow process instance to be self-protected and does not need a workflow engine to secure the data therein. Thus, the process instance discovery and activity execution can be fully independently and distributed. As a result, we can employ the data storage system, Big Table, to store the process instances, which may form a big data. The applying of element-wise encryption and chained digital signature makes it satisfy major security requirements of authentication, confidentiality, data integrity, and nonrepudiation.
AB - Establishing scalable and cross-enterprise workflow management systems (WfMSs) in the cloud requires the adaptation and extension of existing concepts for process management. This paper proposes a scalable and cross-enterprise WfMS with a multitenancy architecture. Especially, it can activate enactment of workflow processes by cloud collaboration. We do not employ the traditional engine-based WfMSs. The key idea is to have the workflow process instance to be self-protected and does not need a workflow engine to secure the data therein. Thus, the process instance discovery and activity execution can be fully independently and distributed. As a result, we can employ the data storage system, Big Table, to store the process instances, which may form a big data. The applying of element-wise encryption and chained digital signature makes it satisfy major security requirements of authentication, confidentiality, data integrity, and nonrepudiation.
KW - Cloud
KW - Multitenancy
KW - WfMS
UR - http://www.scopus.com/inward/record.url?scp=84886037363&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886037363&partnerID=8YFLogxK
U2 - 10.1109/BigData.Congress.2013.19
DO - 10.1109/BigData.Congress.2013.19
M3 - Conference contribution
AN - SCOPUS:84886037363
SN - 9780768550060
T3 - Proceedings - 2013 IEEE International Congress on Big Data, BigData 2013
SP - 70
EP - 77
BT - Proceedings - 2013 IEEE International Congress on Big Data, BigData 2013
T2 - 2013 IEEE International Congress on Big Data, BigData 2013
Y2 - 27 June 2013 through 2 July 2013
ER -