Efficiently querying large process model repositories in smart city cloud workflow systems based on quantitative ordering relations
| Autor: | Zhihui Lu, Rong Peng, Shih-Chia Huang, Hua Huang, Xiaohua Xuan, Patrick C. K. Hung, Zaiwen Feng |
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| Rok vydání: | 2019 |
| Předmět: |
Information Systems and Management
Relation (database) Process (engineering) Computer science business.industry Distributed computing 05 social sciences 050301 education Cloud workflow Cloud computing 02 engineering and technology Business process modeling Computer Science Applications Theoretical Computer Science Index (publishing) Artificial Intelligence Control and Systems Engineering Smart city 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business 0503 education Software |
| Zdroj: | Information Sciences. 495:100-115 |
| ISSN: | 0020-0255 |
| DOI: | 10.1016/j.ins.2019.04.058 |
| Popis: | With the development of cloud computing and the rise of smart city, smart city cloud service platforms are widely accepted by more and more enterprises and individuals. The underlying cloud workflow systems accumulate large numbers of business process models. How to achieve efficiently querying large process model repositories in smart city cloud workflow systems is challenging. To this end, this paper proposes an improved two-phase retrieval approach for querying large process model repositories in smart city cloud workflow systems. In the filtering stage, the index based on quantitative ordering relation with time and probability constraints (namely ORTP_index ) is adopted to greatly reduce the number of candidate models in large process model repositories. In the refining phase, a process behavior similarity computing algorithm based on quantitative ordering relations is proposed to refine the candidate model set. Experiments illustrate that our proposal can significantly improve the query efficiency of large process model repositories in smart city cloud workflow systems based on behavior. |
| Databáze: | OpenAIRE |
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