使用集中式公共资源池减少设备内存

Magendra Singh, Pratush Kumar Shrivastava, Ammar Al Hashmi, Anurag Gupta, Amir Ansari
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引用次数: 0

摘要

现在市场上有大量的移动应用程序。每天都有大量的应用程序被添加到这个列表中。随着用户参与需求的增加,应用程序提供了越来越丰富的图形内容。为了具有全球性的足迹,应用程序提供了对多种语言的支持。所有这些都大大增加了应用程序的大小。用户在移动设备上安装多个应用程序,导致设备内存空间不足。我们提出了一种技术,通过利用每个用户不需要同时使用多种语言以及许多应用程序具有重复/公共资源这一事实来增加设备中的可用内存空间。本文提出了一个面向所有已安装应用程序的公共资源池,以优化其在用户设备中的内存需求。
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Reduce device memory using centralized common resource pool
Now a days there are a plethora of mobile applications available in the market. 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. 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 paper proposes a common resource pool for all installed applications to optimize their memory requirements in user’s device.
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