Abstract
We present a new architecture of HDSM (Hadoop-based distributed sensor node management system) for distributed sensor node management using Hadoop mapreduce framework and distributed file system (DFS). It offers various efficient ways for collecting sensor data and managing multiple sensor nodes by launching specific mapreduce applications on sensor nodes which upload data of sensor nodes to DFS and retrieve sensor data periodically from DFS. Additionally, it provides a flexible management scheme for sensor node by reconfiguring firmware or updating configurations and data formats of sensor nodes based on mapreduce framework. Also, it achieves a transparent and fault-tolerant architecture by exploiting various crucial features of Hadoop. Our experimental results show that it has efficient and stable performance.
Highlights
In ubiquitous computing environment with wired/wireless sensor networks, efficient sensor data collection, monitoring, and management are very significant for various useful data analyses [1]
We regard sensor network as a large scale mapreduce cluster and present a new sensor node management platform, called HDSM (Hadoop-based distributed sensor node management system) for distributed sensor node management by exploiting mapreduce framework and distributed file systems (DFS) and launching various mapreduce applications for executing sensor data uploading, retrieving, flushing, monitoring, and updating configurations. It offers various efficient ways for collecting sensor data and managing multiple sensor nodes by launching specific mapreduce applications on sensor nodes which upload data of sensor nodes to DFS and retrieve sensor data periodically from DFS
We present an architecture of HDSM (Hadoop-based distributed sensor node management system) for managing distributed sensor nodes based on Hadoop mapreduce and distributed file system
Summary
In ubiquitous computing environment with wired/wireless sensor networks, efficient sensor data collection, monitoring, and management are very significant for various useful data analyses [1]. We regard sensor network as a large scale mapreduce cluster and present a new sensor node management platform, called HDSM (Hadoop-based distributed sensor node management system) for distributed sensor node management by exploiting mapreduce framework and DFS and launching various mapreduce applications for executing sensor data uploading, retrieving, flushing, monitoring, and updating configurations. It offers various efficient ways for collecting sensor data and managing multiple sensor nodes by launching specific mapreduce applications on sensor nodes which upload data of sensor nodes to DFS and retrieve sensor data periodically from DFS.
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