Workflow temporal verification for monitoring parallel business processes

Liu, Xiao, Wang, Dingxian, Yuan, Dong, Wang, Futian and Yang, Yun 2016, Workflow temporal verification for monitoring parallel business processes, Journal of software: evolution and process, vol. 28, pp. 286-302, doi: 10.1002/smr.1761.

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Title Workflow temporal verification for monitoring parallel business processes
Author(s) Liu, XiaoORCID iD for Liu, Xiao
Wang, Dingxian
Yuan, Dong
Wang, Futian
Yang, Yun
Journal name Journal of software: evolution and process
Volume number 28
Start page 286
End page 302
Total pages 17
Publisher John Wiley & Sons
Place of publication Chichester, England
Publication date 2016-05
ISSN 2047-7473
Keyword(s) temporal verification
checkpoint selection
parallel processes
quality of service
cloud computing
Science & Technology
Computer Science, Software Engineering
Computer Science
Summary Workflow temporal verification is conducted to guarantee on-time completion, which is one of the most important QoS (Quality of Service) dimensions for business processes running in the cloud. However, as today's business systems often need to handle a large number of concurrent customer requests, conventional response-time based process monitoring strategies conducted in a one-by-one fashion cannot be applied efficiently to a large batch of parallel processes because of significant time overhead. Similar situations may also exist in software companies where multiple software projects are carried out at the same time by software developers. To address such a problem, based on a novel runtime throughput consistency model, this paper proposes a QoS-aware throughput based checkpoint selection strategy, which can dynamically select a small number of checkpoints along the system timeline to facilitate the temporal verification of throughput constraints and achieve the target on-time completion rate. Experimental results demonstrate that our strategy can achieve the best efficiency and effectiveness compared with the state-of-the-art as and other representative response-time based checkpoint selection strategies.
Language eng
DOI 10.1002/smr.1761
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID LP0990393
Copyright notice ©2016, John Wiley & Sons
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