A method and system for evaluating the serviceability of a system is disclosed. The method and system include obtaining a comparison of the system with a plurality of criteria and calculating at least one serviceability score based on the comparison. The comparison includes an objective measure of the serviceability of the system for each of the plurality of criteria.

An embodiment of the present invention relates generally to computer configuration and, more specifically, to a system and method to seamlessly determine the component configurations of a series of heterogeneous platforms and enable their respective component configurations to be intelligently migrated from one platform to another. In some embodiments, the invention involves generating configuration binaries for a plurality of target platforms. The configuration binaries are used with tools to create configuration directives for the target machines. In at least one embodiment, the configuration directives are sent to the target platforms in a scripting language. In some embodiments, the scripts are automatically generated by a tool using the configuration binaries for various platforms and policy guidance to determine which settings should be set on or off. Other embodiments are described and claimed.

A data services handler comprises an interface between a data store and applications that supply and consume data, and a real time information director (RTID) that transforms data under direction of polymorphic metadata that defines a security model and data integrity rules for application to the data.

Workload type to be managed by a database management system (DBMS) is a key consideration in tuning the DBMS. Allocations for resources, such as main memory, can be very different depending on whether the workload type is Online Transaction Processing (OLTP) or Decision Support System (DSS). The DBMS also experiences changes in workload type during the normal processing cycle of the DBMS. It would be preferable for the database administrators to recognize the significant shifts of workload type that demand reconfiguring the DBMS to maintain acceptable levels of performance. Disclosed is a workload type classifier module, used by a DBMS, for recognizing workload types so that the DBMS may then manage or adjust its performance and reconfigure its resources accordingly. The classifier may be constructed based on the most significant workload characteristics that differentiate OLTP from DSS. The classifier is then used for identifying changes in workload types contained in a workload.