The increasing application of process-oriented approaches in new challenging cyber-physical domains beyond business computing (e.g., personalized healthcare, emergency management, factories of the future, home automation, etc.) has led to reconsider the level of flexibility and support required to manage complex processes in such domains. A cyber-physical domain is characterized by the presence of a cyber-physical system coordinating heterogeneous ICT components (PCs, smartphones, sensors, actuators) and involving real world entities (humans, machines, agents, robots, etc.) that perform complex tasks in the “physical” real world to achieve a common goal. The physical world, however, is not entirely predictable, and processes enacted in cyber-physical domains must be robust to unexpected conditions and adaptable to unanticipated exceptions. This demands a more flexible approach in process design and enactment, recognizing that in real-world environments it is not adequate to assume that all possible recovery activities can be predefined for dealing with the exceptions that can ensue. In this chapter, we tackle the above issue and we propose a general approach, a concrete framework and a process management system implementation, called SmartPM, for automatically adapting processes enacted in cyber-physical domains in case of unanticipated exceptions and exogenous events. The adaptation mechanism provided by SmartPM is based on declarative task specifications, execution monitoring for detecting failures and context changes at run-time, and automated planning techniques to self-repair the running process, without requiring to predefine any specific adaptation policy or exception handler at design-time.

Adaptive Process Management in Cyber-Physical Domains / Marrella, Andrea; Mecella, Massimo. - 123(2017), pp. 15-48. - INTELLIGENT SYSTEMS REFERENCE LIBRARY. [10.1007/978-3-319-52181-7_2].

Adaptive Process Management in Cyber-Physical Domains

MARRELLA, ANDREA
;
Mecella, Massimo
2017

Abstract

The increasing application of process-oriented approaches in new challenging cyber-physical domains beyond business computing (e.g., personalized healthcare, emergency management, factories of the future, home automation, etc.) has led to reconsider the level of flexibility and support required to manage complex processes in such domains. A cyber-physical domain is characterized by the presence of a cyber-physical system coordinating heterogeneous ICT components (PCs, smartphones, sensors, actuators) and involving real world entities (humans, machines, agents, robots, etc.) that perform complex tasks in the “physical” real world to achieve a common goal. The physical world, however, is not entirely predictable, and processes enacted in cyber-physical domains must be robust to unexpected conditions and adaptable to unanticipated exceptions. This demands a more flexible approach in process design and enactment, recognizing that in real-world environments it is not adequate to assume that all possible recovery activities can be predefined for dealing with the exceptions that can ensue. In this chapter, we tackle the above issue and we propose a general approach, a concrete framework and a process management system implementation, called SmartPM, for automatically adapting processes enacted in cyber-physical domains in case of unanticipated exceptions and exogenous events. The adaptation mechanism provided by SmartPM is based on declarative task specifications, execution monitoring for detecting failures and context changes at run-time, and automated planning techniques to self-repair the running process, without requiring to predefine any specific adaptation policy or exception handler at design-time.
2017
Advances in Intelligent Process-Aware Information Systems. Concepts, Methods, and Technologies
978-3-319-52179-4
978-3-319-52181-7
Automated planning; Cyber-physical system; Emergency management; Knowledge representation; Process adaptation; Process management system; Computer Science (all); Information Systems and Management; Library and Information Sciences
02 Pubblicazione su volume::02a Capitolo o Articolo
Adaptive Process Management in Cyber-Physical Domains / Marrella, Andrea; Mecella, Massimo. - 123(2017), pp. 15-48. - INTELLIGENT SYSTEMS REFERENCE LIBRARY. [10.1007/978-3-319-52181-7_2].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1026458
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