Misco: A System for Data Analysis Applications on Networks of Smartphones Using MapReduce
Misco: A System for Data Analysis Applications on Networks of Smartphones Using MapReduce
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Misco：使用 MapReduce 在智能手机网络上进行数据分析应用的系统
DOI：
10.1109/mdm.2012.75
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
A. Dou
中科院分区：
文献类型：
--
作者：
Theofilos Kakantousis;Ioannis Boutsis;V. Kalogeraki;D. Gunopulos;Giorgos Gasparis;A. Dou
近年来，社区感知或参与式感知范式的激增，其中个人依赖于使用智能且功能强大的移动的设备来收集、存储和分析来自日常生活的数据。由于这种大规模的数据收集，所有这些发展的一个关键挑战，是提供一个简单而有效的方式来促进分布式应用程序的嵌入式设备上的编程。我们将展示一个新的系统，它提供了一个原则性的方法来开发分布式数据聚类应用程序的智能手机和其他移动的设备的网络。该系统包括三个组件：（a）在移动的电话上实现的分布式框架，其使用简单的编程原语来简化设备上的应用程序的可编程性和部署，（B）跟踪无线设备用户的移动并收集传感器数据（即，GPS和加速度计传感器数据），以及（c）分布式数据聚类算法，其允许用户联合收割机组合他们的个体数据，其是分布式的并且能量高效。使用道路交通监测应用程序，我们演示了如何MISCO可以有效地识别异常的路面状况，并说明我们的系统是实用的，具有较低的能源和资源开销。
The recent years have seen a proliferation of community sensing or participatory sensing paradigms, where individuals rely on the use of smart and powerful mobile devices to collect, store and analyze data from everyday life. Due to this massive collection of the data, a key challenge to all such developments, is to provide a simple but efficient way to facilitate the programming of distributed applications on the embedded devices. We will demonstrate a novel system that provides a principled approach to developing distributed data clustering applications on networks of smartphones and other mobile devices. The system comprises three components: (a) a distributed framework, implemented on mobile phones that eases the programmability and deployment of applications on the devices using simple programming primitives, (b) a data gathering component that tracks the movement of wireless device users and collects sensor data (i.e., GPS and accelerometer sensor data), and (c) a distributed data clustering algorithm that allows users to combine their individual data, that is distributed and energy efficient. Using a road traffic monitoring application we demonstrate how MISCO can efficiently identify anomalies in the road surface conditions and illustrate that our system is practical and has low energy and resource overhead.