2014 IEEE 8th International Symposium on Service Oriented System Engineering 2014
DOI: 10.1109/sose.2014.19
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Customized Infrastructures for Monitoring Business Processes

Abstract: Abstract-Process enactment technology provides native tools and add-ons for monitoring, such as APIs and monitoring consoles, which are usually highly entangled with the underlying process enactment logic and not customizable by process users. In such a case, all users access the same set of monitoring data and functions and process management resources may be allocated for monitoring concerns not of interest for users. In this context, we present a model and a tool for customized process monitoring infrastruc… Show more

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Cited by 3 publications
(2 citation statements)
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“…The presented requirements provide a basis for understanding the different needs of monitoring and how they are related to the domains in which the reader is interested. Marco Comuzzi et al [13] discussed the issue of customized business process monitoring infrastructures in the context of cross instance process monitoring. The design of this tool decouples the monitoring concern from the underlying process engine, making the approach generic, i.e.…”
Section: Related Workmentioning
confidence: 99%
“…The presented requirements provide a basis for understanding the different needs of monitoring and how they are related to the domains in which the reader is interested. Marco Comuzzi et al [13] discussed the issue of customized business process monitoring infrastructures in the context of cross instance process monitoring. The design of this tool decouples the monitoring concern from the underlying process engine, making the approach generic, i.e.…”
Section: Related Workmentioning
confidence: 99%
“…Captured values can be stored by MI during the execution of a business process and made available in batches to MC. Instance-level monitoring is usually opposed to cross-instance monitoring, where monitoring values are defined across a set of instances, e.g., the average execution time of an activity across all instances started by the same customer [12].…”
Section: Conceptual Model Of Process Monitoring Optionsmentioning
confidence: 99%