Optimisation of the Ganga toolkit in terms of memory consumption and persistent storage.

GANGA (Gaudi/Athena and Grid Alliance) is an interface used by scientists to interface with huge amount of computing power and storage available to them as part of the LHC computing grid. Ganga provides a simple yet powerful interface for submitting and managing jobs to a variety of computing backends. The project aims to evaluate the CPU usage, Memory Usage and Persistent Memory usage by Ganga framework. It further aims to reduce the memory consumption by Ganga when executing jobs. FInally it aims to implement a new persistent modal that will store the metadata in more compact form thus reducing both the memory consumption as well as time taken to read the data.