Author
Abstract
Service-Oriented Architecture (SOA) is used to develop a software system by using the web-services in a loose coupling manner. In changing circumstances one may have to add newer services, remove out-of-dated services and may upgrade existing services. These changes may cause disruption and may affect the functioning of other services as these services are connected to each other in order to provide/receive some functionalities. It may result in disrupting the availability of web-services in the system, in temporary or permanent manner, which may further cause the system failure. It is a very cumbersome task to identify disruptive changes in a system. As they cannot be easily experienced, a fault tolerance approach must be enabled to make the system functional. In this paper, a non-disruptive change management system is proposed by applying the fault-tolerance policies during the change management process. The proposed fault-tolerance policy includes the change specification procedure for change identification and deciding the weight of change according to the type of change severity and impact. Based on the change type and change impact, a non-disruptive change management model is proposed which suggests what type of fault tolerance mechanism should be applied in specific scenario. An Intelligent Traffic Management System is used for the demonstration of the work. Petri Nets Method is used for the formal representation of the system and reconfigurable petri nets are used for the demonstration of various changes in the system. In order to automate the process, an application is developed that identify the changes and their possible impact. The present approach may help in non-disruptive change management of SOA-based systems.
Suggested Citation
Swati Goel & Ratneshwer, 2023.
"Non-disruptive change management modeling of SOA based systems,"
International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 455-471, March.
Handle:
RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-023-01875-7
DOI: 10.1007/s13198-023-01875-7
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-023-01875-7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.