Massive Heterogeneous Sensor Data Management in the Internet of Things

Authors:
Zhiming Ding;Qi Yang;Hong Wu
Affiliations:
-;-;-
Venue:
ITHINGSCPSCOM '11 Proceedings of the 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing
Year:
2011

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SeaCloudDM: a database cluster framework for managing and querying massive heterogeneous sensor sampling data

The Journal of Supercomputing

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Abstract

In recent years, the Internet of Things (IoT) has become increasingly important and is changing the way how people live and work. IoT has a lot of benefits and meanwhile, it also brings about great challenges to the data management community. In this paper, we first analyze the challenges in IoT data management, and then propose a novel Sea-Cloud-based massive heterogeneous sensor Data Management ("SeaCloudDM") framework in order to meet these challenges. The experimental results show that SeaCloudDM provides satisfactory query processing performances for massive sensor sampling data.