International Business Machines Corporation

James Allen Goodwin

Manjunath Basappa Muttur

Stephen N Abbot

Thomas Howard Smith

A method, system, and computer usable program product for predictively managing failover in a high availability system are provided in the illustrative embodiments. A disruptive activity occurring on the HA data processing system is detected. The disruptive activity has a potential to cause an operation of the HA data processing system to perform outside a specified parameter. A determination is made of a desired response in the HA data processing system should the disruptive activity disrupting the operation. A precautionary action is initiated with respect to the HA data processing system.

Predictively managing failover in high availability systems

The method determines whether a particular node of a high availability cluster is functioning properly or is a failed node. The method dumps node process state information as a dump data for the failed or crashed node in a shared storage area of the high availability cluster. A high availability cluster manager identifies the dump data that corresponds to the failed node as the most recent dump data for that failed node. The high availability cluster manager interrogates the dump data using kernel debugger services to identify a process trace and thereby identify the crash-causing application for the failed node. The method determines if the dump data includes a process match for the failed node process. The high availability cluster manager may initiate a crash-causing application notification to administrators or other entities of the high availability cluster. The method provides relocation and restoration capability of applications from the failed node to a fallover node and returns those application resources to the user and other entities using the high availability cluster.

Growing community of inventors

Austin, TX, United States of America

James Allen Goodwin