The Implementation of Sensor Data Access Cloud Service on HBase for Intelligent Indoor Environmental Monitoring

With the development of science and technology and lifestyle changes, people's idea focuses on improving the health environment by using Information Technology to provide warning and prediction. To achieve this goal, the proposed Intelligent Indoor Environment Monitoring System in Cloud (iDEMS) combined environmental sensors with ZigBee wireless sensor network technology to store and process environmental data in HBase. The environmental data collected by sensors will be stored and processed cloudy in HBase which support large amounts of data to store in, free to increase storage space easily. It also can compute through Hadoop MapReduce for HBase database to do distributed computing or cloud computing to process environments records.

[1]  Carlos E. Palau,et al.  I3WSN: Industrial Intelligent Wireless Sensor Networks for indoor environments , 2014, Comput. Ind..

[2]  Kyuseok Shim,et al.  Supporting set-valued joins in NoSQL using MapReduce , 2015, Inf. Syst..

[3]  Bin Shao,et al.  Fast graph mining with HBase , 2015, Inf. Sci..

[4]  Yang Zheng,et al.  Performance analysis and testing of HBase based on its architecture , 2013, 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS).

[5]  Jung-Chun Liu,et al.  Construction and Application of an Intelligent Air Quality Monitoring System for Healthcare Environment , 2014, Journal of Medical Systems.

[6]  Sunilkumar S. Manvi,et al.  Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey , 2014, J. Netw. Comput. Appl..

[7]  Nabil Ahmed Sultan.  Discovering the potential of cloud computing in accelerating the search for curing serious illnesses , 2014, Int. J. Inf. Manag..

[8]  Roy D. Sleator,et al.  'Big data', Hadoop and cloud computing in genomics , 2013, J. Biomed. Informatics.

[9]  Danilo Ardagna,et al.  Issues in Handling Complex Data Structures with NoSQL Databases , 2012, 2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

[10]  Shuigeng Zhou,et al.  A RAMCloud Storage System based on HDFS: Architecture, implementation and evaluation , 2013, J. Syst. Softw..

[11]  Qazi Mamoon Ashraf,et al.  Autonomic schemes for threat mitigation in Internet of Things , 2015, J. Netw. Comput. Appl..

[12]  Ganesh Chandra Deka.  BASE analysis of NoSQL database , 2015, Future Gener. Comput. Syst..