Job Failure Analysis in Mainframes Production Support
Journal Title: International Journal of Mathematics and Statistics Invention - Year 2017, Vol 5, Issue 3
Abstract
A major part of batch processing on mainframe computers consists of several thousand batch jobs which run every day. This network of jobs runs every day to update day-to-day transaction. There are frequent failures which can cause a high delay in the batch and also degrade the performance & efficiency of the application. Permanent solution can be done to frequently occurring job failures to avoid the delay in batch and to improve performance & efficiency of the application. In this paper, we have analyzed the frequently occurring batch job failure recorded in Know Error Databases (KEBD) for past one year based on different categories. Frequently failed jobs obtained are categorized based on application, failure-type, job-runs and the resolution. Different results are obtained in the weka tool based on the different categories. From the various results obtained it can be concluded that the frequent failures are occurring in MSD application. On further analysis on this frequently failed jobs showed that data and network issue are causing the major job failures in which most of the jobs were daily processing jobs. In order to fix the failure the jobs was resolved by restarting the job from the overrides or by restarting the job from the top.
Authors and Affiliations
Ranjani KV, R. Roseline Mary
Keywords
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