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An Efficient Bioinformatics Processing Scheme using AHP Algorithm in Big Data Environment


  • Department of Multimedia, Hannam University, Korea, Republic of
  • Department of Information Communication Engineering, Mokwon University, Korea, Republic of


Background/Objectives: Bioinformatic information in many diverse areas is being collected, managed, and stored in relation to the genome project. However, studies related to bioinformatics until now has very low efficiency due to improper management of the bioinformatic information. Methods/Statistical Analysis: In this paper, a data processing scheme applying the AHP algorithm is proposed for efficient management of bioinformatic information. The proposed scheme improves information accuracy by assigning property weights by hierarchically classifying the property information (type, property, priority, etc). Findings: Furthermore, the proposed scheme interconnects weighted bioinformatic information according to the weight to minimize the process time between the server and user, thereby improving the information accessibility. Application/Improvements: As a result of performance evaluation, the proposed scheme obtained improved results compared to the conventional schemes in terms of throughput and process time between the LSS (Location Service Server) and user.


AHP, Algorithm, Big Data, Bioinformatics, Data Process.

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