{"title":"Analysis of multi cloud storage applications for resource constrained mobile devices","authors":"Rajeev Kumar Bedi , Jaswinder Singh , Sunil Kumar Gupta","doi":"10.1016/j.pisc.2016.04.052","DOIUrl":null,"url":null,"abstract":"<div><p>Cloud storage, which can be a surrogate for all physical hardware storage devices, is a term which gives a reflection of an enormous advancement in engineering (<span>Hung et al., 2012</span>). However, there are many issues that need to be handled when accessing cloud storage on resource constrained mobile devices due to inherent limitations of mobile devices as limited storage capacity, processing power and battery backup (<span>Yeo et al., 2014</span>). There are many multi cloud storage applications available, which handle issues faced by single cloud storage applications. In this paper, we are providing analysis of different multi cloud storage applications developed for resource constrained mobile devices to check their performance on the basis of parameters as battery consumption, CPU usage, data usage and time consumed by using mobile phone device Sony Xperia ZL (smart phone) on WiFi network. Lastly, conclusion and open research challenges in these multi cloud storage apps are discussed.</p></div>","PeriodicalId":92112,"journal":{"name":"Perspectives in science","volume":"8 ","pages":"Pages 279-282"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.pisc.2016.04.052","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Perspectives in science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221302091630074X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Cloud storage, which can be a surrogate for all physical hardware storage devices, is a term which gives a reflection of an enormous advancement in engineering (Hung et al., 2012). However, there are many issues that need to be handled when accessing cloud storage on resource constrained mobile devices due to inherent limitations of mobile devices as limited storage capacity, processing power and battery backup (Yeo et al., 2014). There are many multi cloud storage applications available, which handle issues faced by single cloud storage applications. In this paper, we are providing analysis of different multi cloud storage applications developed for resource constrained mobile devices to check their performance on the basis of parameters as battery consumption, CPU usage, data usage and time consumed by using mobile phone device Sony Xperia ZL (smart phone) on WiFi network. Lastly, conclusion and open research challenges in these multi cloud storage apps are discussed.
云存储可以作为所有物理硬件存储设备的替代品,是一个反映工程学巨大进步的术语(Hung et al., 2012)。然而,由于移动设备固有的局限性,如有限的存储容量、处理能力和电池备份,在资源受限的移动设备上访问云存储时,需要处理许多问题(Yeo et al., 2014)。有许多可用的多云存储应用程序,它们可以处理单个云存储应用程序所面临的问题。在本文中,我们分析了为资源受限的移动设备开发的不同的多云存储应用程序,通过使用手机设备索尼Xperia ZL(智能手机)在WiFi网络上使用电池消耗、CPU使用、数据使用和时间消耗等参数来检查其性能。最后,讨论了这些多云存储应用的结论和开放的研究挑战。