Abstract: A method, computer program product, and system for detecting and fencing off a failed entity instance so that failover time in the computing system is reduced. Upon detection of a failed entity, for example a failed process, a signal handler invokes an operating system interface to fence off the failed instance from modifying its persistent state, so that the entity may be re-instantiated prior to termination of the failed instance. This approach reduces failover time and eliminates split-brain problems without compromising access to the failed instance to obtain diagnostic information, core dumps, and the like.

Abstract: A computer data processing system and an article of manufacture for determining database workload periodicity. The computer data processing system includes a module for converting database activity samples spanning a time period from the dime domain to the frequency domain, the converting resulting in a frequency spectrum, a module for identifying fundamental peaks of the frequency spectrum, and a module for allocating database resources based on at least one of the fundamental peaks.

Abstract: A method, computer program product, and system for detecting and fencing off a failed entity instance so that failover time in the computing system is reduced. Upon detection of a failed entity, for example a failed process, a signal handler invokes an operating system interface to fence off the failed instance from modifying its persistent state, so that the entity may be re-instantiated prior to termination of the failed instance. This approach reduces failover time and eliminates split-brain problems without compromising access to the failed instance to obtain diagnostic information, core dumps, and the like.

Abstract: A computer data processing system and an article of manufacture for determining database workload periodicity. The computer data processing system includes a module for converting database activity samples spanning a time period from the dime domain to the frequency domain, the converting resulting in a frequency spectrum, a module for identifying fundamental peaks of the frequency spectrum, and a module for allocating database resources based on at least one of the fundamental peaks.

Abstract: A data processing system implemented method for determining database workload periodicity. The data processing system implemented method includes converting database activity samples spanning a time period from the dime domain to the frequency domain, the converting resulting in a frequency spectrum, identifying fundamental peaks of the frequency spectrum, and allocating database resources based on at least one of the fundamental peaks.

Abstract: An apparatus, system, and method are disclosed for autonomically analyzing a database management system (DBMS). This is accomplished by recording database commands in a datastore while imposing minimal performance effects on the database management system. Then, an optimal playback window is determined for replaying the recorded database commands while imposing minimal performance effects on the DBMS. The recorded database commands are replayed during the determined optimal playback window, and performance statistics are gathered in response to the replayed database commands. The gathered performance statistics are sent to one or more autonomic consumer applications which are responsible for optimizing the DBMS.