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

机译:与移动云的大数据架构在Android操作系统中存储巨大数据

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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:我们在计算机科学时代,我们正在为来自Giga / Tera / Peta / exa字节的Zeta字节的epoch前进。云中的数据存储不是唯一的偏好,即用于处理结构化和非结构化数据的大数据技术。今天,庞大的数据总和是由两种组成类型的移动电话(智能手机)的。为了更快的加工,可以使用大数据来实现更快的处理和巨大数据的数据利用率。使用移动云实现大数据架构,以便在必过大的途径部署。更快的执行可以结束可行的MapReduce技术的新数据架构,其中HDFS(Hadoop分布式文件系统)在使用具有不同结构的数据时也扮演大的问责制。随着时间的推移,智能手机增强的数据和信息的数据和更快的执行是相同的。根据我们的研发,唯一的解决该庞大数量的数据是用CDRoid方案进行大数据以获得最好使用它。我们相信这项努力将在靠近期望的情况下走上更健康的文明的道路上一步。

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