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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Robust and Reliable Process-Aware Information Systems

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Autor(es):
Schwerz, Andre Luis [1] ; Liberato, Rafael [1] ; Pu, Calton [2] ; Ferreira, Joao Eduardo [3]
Número total de Autores: 4
Afiliação do(s) autor(es):
[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
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: IEEE TRANSACTIONS ON SERVICES COMPUTING; v. 14, n. 3, p. 820-833, MAY-JUN 2021.
Citações Web of Science: 0
Resumo

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)

Processo FAPESP: 15/01587-0 - Armazenagem, modelagem e análise de sistemas dinâmicos para aplicações em e-Science
Beneficiário:João Eduardo Ferreira
Modalidade de apoio: Auxílio à Pesquisa - Programa eScience e Data Science - Temático