The week's pick
Reseach Article
Resource Consumption Framework for Fault Diagnosis in Cloud
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 63 - Number 20 |
| Year of Publication: 2013 |
| Authors: Chitra. B, Selvi. S, T. Rajendran |
10.5120/10583-5702
|
Chitra. B, Selvi. S, T. Rajendran . Resource Consumption Framework for Fault Diagnosis in Cloud. International Journal of Computer Applications. 63, 20 ( February 2013), 24-28. DOI=10.5120/10583-5702
Abstract
In the heterogeneous parallel and distributed computing environments like cloud there were many related approaches proposed for fault tolerant execution of workflows. Most of the earlier works involved does not depend on failure prediction of the resources that is really hard to achieve with the tracing of historic failure data over years of the desired environment. In this paper, to solve the software fault prediction, unavailability of the resources and monitoring problems we propose a failure prediction model that involves two different methods. In order to predict the failures at the nodes we propose a method using Intelligent Platform Management Interface (IPMI), that monitor the failure at nodes and provide the respective data that is useful for determining likely imminent failures. The other method is to predict the Unavailability of the resources from past behavior that generates some initial results that indicate that nodes are different from one another and their failure is somewhat predictable and monitoring is performed which intimates about the failure.
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