Abstract: An apparatus, system, and method are disclosed for evaluating database accesses. The apparatus may comprise a computer program that causes a computer system to exchange profiling data between a client application module and a database module; execute a database access; determine a database access policy violation at a detection point module; and selectively request context information from a context point module related to the database access.

Abstract: A computer-implemented method is disclosed. The method includes collecting cache-efficiency-indicator values of an at least one cache fragment during operation of a database system over a period of time. Providing approximation-function-parameter values for the collected, cache-efficiency-indicator values, an approximation function representing a relation between a cache-efficiency-indicator and the size of a respective cache fragment. The method continues by providing a set of workload windows based on the approximation-function-parameter values. Next, providing a workload-window information for the set of workload windows, the workload-window information including at least one approximation-function-parameter value representing each determined workload window. The method further includes storing the workload-window information for a comparison based on current, cache-efficiency-indicator values and the workload-window information.

Abstract: Techniques are provided for tuning work. In response to identifying a trigger for a work, automatic tuning is invoked. The trigger indicates that a performance goal for the work has been missed. The work is analyzed. A tuning operation is selected for the work based on a tuning history. The selected tuning operation is implemented for the work.

Abstract: A method, computer program product, and infrastructure for accessing a remote application running on a system A by a system B, each being connected to an open network and located behind a firewall, are provided. The method, computer program product, and infrastructure provide for system A sending a first HTTP request to system B via the open network, blocking the first HTTP request from system A till an application request is available at system B, system B sending an HTTP response to system A via the open network, the HTTP response comprising the application request, system A processing the application request from system B to generate an application response, system A sending a second HTTP request to system B via the open network, the second HTTP request comprising the application response, and blocking the second HTTP request from system A till another application request is available at system B.

Abstract: A method for tuning a database system is disclosed. A tuning strategy is received comprising a first procedure to determine a suggested tuning action, and a second procedure to measure performance of the database system. The suggested tuning action is determined and pre-action performance measured according to the respective procedures. Undo information that indicates how to undo the database system state change of the suggested tuning action is recorded in a database system state history. After executing the suggested tuning action, post-action database system performance is measured according to the second procedure. When the post-action performance is lower than the pre-action performance, the database system state change is undone using the undo information. Embodiments enabling to create new tuning strategies, downloading existing tuning strategies, sharing own tuning strategies and changing existing tuning strategies are disclosed as well.

Abstract: A system and method are disclosed to improve processing time of a database system by continuous automatic background optimization of a cache memory that is fragmented into a plurality of cache fragments is described. The system and method include collecting indicators about efficiency of individual cache fragments by at least one of measuring a cache hit ratio of each cache fragment, measuring a processing time that a CPU of the database system needs to prepare data in the individual cache fragments, and measuring execution time the CPU needs to process the data in accordance with a SQL query. The system and method include calculating and revising approximation curves for measured values of each cache fragment to find a combination of cache fragment sizes with a highest system throughput. The system and method include changing the sizes of the cache fragments to receive highest system throughput.

Abstract: A method, computer program product, and system for triggering an update of statistics data used by a query optimizer of a relational database management system for determining an optimal execution plan for executing a received query request on a relational database is provided. A system dependent nominal performance value for executing the query request on a database system is determined. Additionally, an average actual performance value is determined by processing the query request. If a comparison between the average actual performance value and the system dependent nominal performance value yields a result which is greater than a first threshold value, an update cost value and a cost saving value are determined. If a comparison between the cost saving value and the update cost value yields a result which is greater than a second threshold value, the statistics data is updated.