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Hasso-Plattner-Institut Für Digital Engineering Ggmbh

Michael Perscheid

Alexander Boehm

Marco H Kroll

Lutz Gericke

Hasso Plattner

Rainer Schlosser

Jan Kossmann

Alexander Kastius

Embodiments relate to a method for training an index selection agent for iteratively determining an index set I to be used when running queries against a database, the method being implemented in a computer system. Preferably, the index selection agent is based on Reinforcement Learning.

Training an agent for iterative multi-attribute index selection

The present disclosure relates to computer-implemented methods, software, and systems for providing extension application mechanisms. Memory is allocated for a virtual environment to run in an address space of an application that is to be extended with extension logic in a secure manner. The virtual environment is configured for execution of commands related to an extension functionality of the application. A virtual processor for an execution of a command of the commands is initialized at the virtual environment. The virtual processor is operable to manage one or more guest operating systems (OS). A first guest OS is loaded at the allocated memory and application logic of the extension functionality is copied into the allocated memory. The virtual environment is started to execute the first guest OS and the application logic of the extension functionality in relation to associated data of the application in the allocated memory.

Extension application mechanisms through intra-process operation systems

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Potsdam, Germany

Michael Perscheid