| Full text | |
| Author(s): |
Total Authors: 4
|
| Affiliation: | [1] Fed Univ Technol Paran UTFPR, Dept Comp, Curitiba, Parana - Brazil
[2] Georgia Inst Technol, Sch Comp Sci, Atlanta, GA 30332 - USA
[3] Univ Sao Paulo, Inst Math & Stat, Dept Comp Sci, Sao Paulo - Brazil
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | IEEE TRANSACTIONS ON SERVICES COMPUTING; v. 14, n. 3, p. 820-833, MAY-JUN 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
Over recent years, several sophisticated Process-Aware Information Systems (PAIS) have been proposed for managing business processes and automating large-scale scientific (e-Science) processes. Much of this success is due to their ability to provide generic functionality for modeling, execution and monitoring processes. These functionalities work well when process execution follows a well-behaved path towards achieving the models objectives. However, exceptions and anomalous situations that fall outside of the well-behaved execution path still pose a significant challenge to PAIS. The treatment for such exceptions usually involves interventions in systems by human operators, which result in significant additional cost for businesses. In this paper, we introduce a cost-aware recovery composition method that is able to find and follow recovery paths that reduce the cost of exception handling. From a practical point of view, our proposal reduces complexity and the need for manual interventions to handle exceptions. Finally, the feasibility of recovery mechanism is discussed from its implementation into WED-flow framework. (AU) | |
| FAPESP's process: | 15/01587-0 - Storage, modeling and analysis of dynamical systems for e-Science applications |
| Grantee: | João Eduardo Ferreira |
| Support Opportunities: | Research Grants - eScience and Data Science Program - Thematic Grants |