• Rajarajeshwari K
• Dr. G. Radhamani

The concept of Smart City creates a better living standard for Citizens using Information and Communication Technology (ICT). The amount of data in the smart city is high in volume so the architecture uses Big Data concepts. The proposed architecture has three levels namely Data acquisition, Data processing & Event Handling, Application level. This architecture uses Hadoop and includes usage of dimensionality reduction algorithms in the data pre-processing stage to clean the data. The cleaned data is then stored in the HBase. HiveQL is used to query the database. The architecture uses Classification algorithms and Optimal routing algorithms based on the event called. The storage and working of architecture happen in the Cloud environment. The proposed architecture helps in providing personalized services in smart city applications.

Big Data Analytics, Cloud Databases, Hadoop, MapReduce, Smart City.

"Designing a Three Level Smart City Architecture based on Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.562-568, April-2019, Available :http://www.jetir.org/papers/JETIR1904D75.pdf

"Designing a Three Level Smart City Architecture based on Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp562-568, April-2019, Available at : http://www.jetir.org/papers/JETIR1904D75.pdf