Title :
Tracking international migration from RFID data using map reduce method
Author :
Anu V, Maria ; Anandha Mala, G.S.
Author_Institution :
Sathyabama Univ., Chennai, India
Abstract :
RFID technology generates massive amount of path oriented data. A lot of research work is going on to model the RFID data generated from Supply Chain management. In this paper we have considered RFID data generated from RFID tagged passports. This temporal data can be queried using map reduce method from the data sent from different countries to the origin country. The frequent information about migrants can be organized in a better way to reduce the execution complexity. As compared with supply chain management long paths are common in RFID tagged passports. The techniques which we have presented in this paper will be very useful to model the massive amount of RFID data.
Keywords :
data handling; data models; parallel programming; query processing; radiofrequency identification; travel industry; MapReduce method; RFID data; RFID tagged passports; RFID technology; data modeling; execution complexity reduction; international migration tracking; path oriented data; temporal data query; Biometrics (access control); Databases; History; Logic gates; Radiofrequency identification; RFID; data modeling; map reduce; migration;
Conference_Titel :
Advanced Computing (ICoAC), 2013 Fifth International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3447-8
DOI :
10.1109/ICoAC.2013.6921998