Magendra Singh, Pratush Kumar Shrivastava, Ammar Al Hashmi, Anurag Gupta, Amir Ansari
{"title":"Reduce device memory using centralized common resource pool","authors":"Magendra Singh, Pratush Kumar Shrivastava, Ammar Al Hashmi, Anurag Gupta, Amir Ansari","doi":"10.1109/Confluence47617.2020.9058226","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Confluence47617.2020.9058226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.