Automatic Voting Machine using Hadoop
Journal: GRD Journal for Engineering (Vol.2, No. 7)Publication Date: 2017-06-01
Authors : Shireen Fatima; Shivam Shukla;
Page : 51-58
Keywords : Hadoop; sqoop; Hive- Hql; Mapreduce; oozie;
Abstract
Voting style has been changed from the word counting papers to the electronically voting records. The system provides many advantages over the traditional voting system by reducing the voting process time and provides the performance in terms of more flexibility and accuracy. But there are some drawbacks also. The large volume of data takes a lot of time to process which affects the system performance. This huge amount of data can be stored, processed and analyzed in many ways but they require fast retrieval technique. Hadoop is considered as the best solution for handling big data which uses parallel computing techniques. Hadoop gives a complete administration apparatus to manage the huge data. That leads us to do this project using Hadoop and HIVE. The demand for Automatic Voting Machine is ever increasing and the system creates a huge amount of data. The results that are produced should be processed in an efficient way. Traditional data storage system and their data processing techniques are not really effective in handling Big Data. These data can take different forms like structured, unstructured and semi structured. The processing power of the machine is influence by the large data size. The system is fully automated and be able to handle extremely large volumes of data. The datasets are created using the application and are used to analyze through HIVE and OOZIE. In Automatic Voting Machine user enter his/her voter Id. Through voterid it will check in HIVE tables whether voter ID is valid or invalid. If he/she is invalid, script will exit or else again check whether the voter is coming for the first time or not. If voter is coming for second time then scirpt will exit and if he is coming for first time then voter can select the candidate (party name) of his/her choice and cast the vote. The project contains the sqoop command. This is schedule in oozie to bring the data from mysql (RDBMS) to HIVE table. If the voting is completed, here it is assumed that at 5 PM voting will be completed and voter will not be allowed to cast his/her vote. So whenever wrapper script will execute it will check whether it is 5 PM if not then voter can cast his vote or else result will be displayed in terms of counting of votes with respect to candidates. Even the system also gives the result in terms of winning percentage with great accuracy.
Citation: Ms. Shireen Fatima, Goel Institute of Technology & Management, Lucknow, INDIA; Mr. Shivam Shukla ,Goel Institute of Technology & Management, Lucknow, INDIA. "Automatic Voting Machine using Hadoop." Global Research and Development Journal For Engineering 27 2017: 51 - 58.
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Last modified: 2017-06-16 13:10:02