DocumentCode
162478
Title
Temporal Verification for Business Cloud Workflows: Open Research Issues
Author
Zhou Zhao ; Futian Wang ; Xiaoliang Fan ; Xiao Liu
Author_Institution
Shanghai Key Lab. of Trustworthy Comput., East China Normal Univ., Shanghai, China
fYear
2014
fDate
27-29 Aug. 2014
Firstpage
33
Lastpage
40
Abstract
In recent years, cloud computing is establishing itself as the latest high-performance and high-throughput computing paradigm, and thus doing business in the cloud is becoming a reality. However, due to the dynamic nature of the cloud environment, the on-time completion of time-constrained business workflows is a big challenge. Workflow temporal verification as the major approach to monitor and control the correctness of temporal consistency plays a critical role in the on-time completion of business workflow instances. In the recent decade, great efforts have been dedicated to the area of workflow temporal verification and it is high time that we should define the key research issues for business cloud workflows in order to keep our research on the right track. In this paper, we systematically investigate this problem and propose four key research issues based on the introduction of a generic temporal verification framework. Meanwhile, some preliminary solutions and open challenges are presented and discussed. Finally, Swin DeW-V, an on-going research project on temporal verification as part of our Swin DeW-C cloud workflow system, is also demonstrated.
Keywords
cloud computing; formal verification; SwinDeW-C cloud workflow system; SwinDeW-V; business cloud workflows; cloud computing; cloud environment; high-performance computing; high-throughput computing; temporal consistency correctness; time-constrained business workflows; workflow temporal verification; Business; Cloud computing; Measurement; Monitoring; Quality of service; Throughput; Time factors; Cloud Computing; Quality of Service; Workflow; Workflow Temporal Verification;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grids (SKG), 2014 10th International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/SKG.2014.36
Filename
6964661
Link To Document