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首页> 外文期刊>Journal of Cloud Computing: Advances, Systems and Applications >Enabling actionable analytics for mobile devices: performance issues of distributed analytics on Hadoop mobile clusters
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Enabling actionable analytics for mobile devices: performance issues of distributed analytics on Hadoop mobile clusters

机译:为移动设备启用可行的分析:Hadoop移动集群上的分布式分析的性能问题

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摘要

Significant innovations in mobile technologies are enabling mobile users to make real-time actionable decisions based on balancing opportunities and risks to take coordinated actions with other users in their workplace. This requires a new distributed analytic framework that collects relevant information from internal and external sources, performs real-time distributed analytics, and delivers a critical analysis to any user at any place in a given time frame through the use of mobile devices such as smartphones and tablets. This paper discusses the advantages and challenges of utilizing mobile devices for distributed analytics by showing its feasibility with Hadoop analytic framework.
机译:移动技术的重大创新使移动用户能够基于机会和风险的平衡做出实时可行的决策,以便与工作场所中的其他用户采取协调一致的行动。这就需要一个新的分布式分析框架,该框架可以从内部和外部源收集相关信息,执行实时分布式分析,并通过使用智能手机和智能手机等移动设备在给定的时间范围内向任何位置的任何用户提供关键分析。平板电脑。本文通过展示其在Hadoop分析框架中的可行性,讨论了利用移动设备进行分布式分析的优势和挑战。

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