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Big data architecture with mobile cloud in CDroid operating system for storing huge data

机译:在ANDroid操作系统中具有移动云的大数据架构,用于存储海量数据

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We are stepping frontward for an epoch of zeta bytes from Giga/Tera/Peta/Exa bytes in this era of computer science. The data storage in clouds is not the only preference as big data technology is obtainable for processing of both structured and unstructured data. Today a colossal sum of data is engendered by mobile phones (Smartphone) of both the composition types. For the sake of faster processing and elegant data utilization for gigantic quantity of data CDroid operating systems can be implemented with big data. Big data architecture is realized with mobile cloud for paramount deployment of wherewithal. The faster execution can be ended feasible for the make use of a new data centric architecture of MapReduce technology where as HDFS (Hadoop Distributed File System) also plays a big accountability in using data with dissimilar structures. As time advances the degree of data and information generated from smartphone augments and faster execution is call for the same. As per our research and development the only resolution for this mammoth amount of data is to put into practice Big data with CDroid scheme for best use of it. We believe this effort will budge a step ahead on the road to healthier civilization in close proximity to expectations.
机译:在这个计算机科学时代,我们正在从Giga / Tera / Peta / Exa字节迈向zeta字节的新纪元。云中的数据存储并不是唯一的选择,因为可以使用大数据技术来处理结构化和非结构化数据。如今,两种组成类型的移动电话(智能电话)产生了巨大的数据总和。为了更快的处理速度和对大量数据的优雅数据利用,可以使用大数据来实现CDroid操作系统。大数据架构是通过移动云实现的,因此可以进行最重要的部署。使用MapReduce技术的新的以数据为中心的体系结构,可以使更快的执行变得可行,因为HDFS(Hadoop分布式文件系统)在使用具有不同结构的数据方面也扮演着重要的责任。随着时间的流逝,从智能手机生成的数据和信息的程度会增加,因此需要更快的执行速度。根据我们的研究和开发,这种庞大数据量的唯一解决方案是将具有CDroid方案的大数据付诸实践以实现最佳利用。我们相信,这一努力将在朝着更加接近期望的方向发展更健康的文明的道路上迈出一步。

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