EconPapers    
Economics at your fingertips  
 

An event-driven dynamic cross-layer business process compliance monitoring and analysis framework

Sridevi Saralaya, Rio G. D'Souza and Vishwas Saralaya

International Journal of Business Information Systems, 2018, vol. 29, issue 3, 342-386

Abstract: Any business process life-cycle should be monitored for adherence to compliance, so as to detect, analyse and recover from anomalies. Whenever a business process implemented as service-based system (SBS) deviates from compliance obligations, it is imperative to overcome anomalies so that the process is not adversely affected. This necessitates a monitoring and root-cause analysis process. Performance of the SBS is determined by factors such as goals and objectives of business layer; output data, execution time and number of services in service layer; processing load, storage capacity of the infrastructure layer. Current approaches are considered inadequate as they observe and verify adherence to properties in any one of the layers of the SBS. We propose a monitoring and root-cause analysis framework capable of congregating and correlating events from all layers of the SBS. The prototypical implementation based on event paradigm is non-invasive and introduces no overhead to the system under consideration.

Keywords: cross-layer monitoring; root-cause analysis; event-based monitoring; hierarchical service-based systems; dependencies. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=95568 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:29:y:2018:i:3:p:342-386

Access Statistics for this article

More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijbisy:v:29:y:2018:i:3:p:342-386