STORAGE OPTIMIZATION USING RESOURCE POOLING

Abstract

Now days there are a plethora of mobile applications available in the market like Google Playstore, and Galaxy Store. A huge number of applications are being added to this list each day. As the demand for user engagement increases, more and more rich graphical contents are provided by applications. In order to have a global footprint, applications provide support for multiple languages. All this considerably increases the size of the applications.

Users install several applications on their mobile devices which results in shortage of memory space in the devices. Each application uses similar text or resources at application layer for display interface.

We have proposed a technique to increase the usable memory space in the devices by leveraging the fact that each user does not require multiple languages simultaneously and many applications have duplicate/common resources.

This thesis proposes a common resource pool for all installed applications to optimize their memory requirements in user’s device.