An autonomic mechanism based on ant colony pattern for detecting the source of incidents in complex enterprise systems Online publication date: Tue, 03-Sep-2019
by Kamaleddin Yaghoobirafi; Eslam Nazemi
International Journal of Grid and Utility Computing (IJGUC), Vol. 10, No. 5, 2019
Abstract: In complex enterprises, various events such as failure of a server, malfunction of an application etc. may happen. In many cases, these events are caused by a change or an incident in a resource which belongs to another layer of information technology architecture. This makes the detection of complex events very difficult. In this paper, a mechanism is proposed based on pheromone deposition pattern for detecting the main source of failures and deficiencies in any position in the information technology architectural layers and recognising appropriate alternative solutions. It is expected that this mechanism facilitates the coordination between the resources which are not digitally represented. For sake of evaluation, two case studies are considered which investigate the inter-layer adaptation scenarios. The results show that the adaptation process can be done in less time and with more scalability with utilisation of the proposed mechanism in comparison with classic approaches.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Grid and Utility Computing (IJGUC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook