Hierarchical Group Data Management Scheme using Priority Information Big Data Environment

Background/Objectives: With the advancement of mobile phone technology, services such as SNS and Facebook have become more popular and has dramatically increased the use of Big data. However, there are not many users who are satisfied the search results of their desired data. Methods/Statistical Analysis: This paper suggests a scheme that group-manages Big data by considering the similarity of data after first allocating priority to the data among a large volume of Big data. Findings: The suggested scheme pursues high accuracy and short processing time of the search results of Big data. In particular, the suggested scheme has faster processing velocity than existing scheme as it group-manages Big data by grouping the priority information according to the similarity allocated to data. Application/Improvements: The performance evaluation results indicated that the suggested scheme showed processing time 11.1% shorter and accuracy 8.3% better than the existing scheme on average.