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Pegasus:a distributed and load-balancing fingerprint identification system

Pegasus:a distributed and load-balancing fingerprint identification system

作     者:Yun-xiang ZHAO Wan-xin ZHANG Dong-sheng LI Zhen HUANG Min-ne LI Xi-cheng LU 

作者机构:National Laboratory for Parallel and Distributed Processing College of Computer National University of Defense Technology Changsha 410003 China 

基  金:Project supported by the National Basic Research Program(973)of China(No.2014CB340303) the National Natural Science Foundation of China(Nos.61222205 and 61402490) the Program for New Century Excellent Talents in University,China(No.141066) the Fok Ying-Tong Education Foundation 

出 版 物:《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿(英文版))

年 卷 期:2016年第17卷第8期

页      码:766-780页

摘      要:Fingerprint has been widely used in a variety of biometric identification systems in the past several years due to its uniqueness and immutability. With the rapid development of fingerprint identification techniques, many fingerprint identification systems are in urgent need to deal with large-scale fingerprint storage and high concurrent recognition queries, which bring huge challenges to the system. In this circumstance, we design and implement a distributed and load-balancing fingerprint identification system named Pegasus, which includes a distributed feature extraction subsystem and a distributed feature storage subsystem. The feature extraction procedure combines the Hadoop Image Processing Interface(HIPI) library to enhance its overall processing speed; the feature storage subsystem optimizes MongoD B's default load balance strategy to improve the efficiency and robustness of *** and simulations are carried out, and results show that Pegasus can reduce the time cost by 70% during the feature extraction procedure. Pegasus also balances the difference of access load among front-end mongos nodes to less than 5%. Additionally, Pegasus reduces over 40% of data migration among back-end data shards to obtain a more reasonable data distribution based on the operation load(insertion, deletion, update, and query) of each shard.

主 题 词:Distributed fingerprint identification Distributed MongoD B Load balancing 

学科分类:08[工学] 080203[080203] 080402[080402] 0804[工学-材料学] 0802[工学-机械学] 

核心收录:

D O I:10.1631/FITEE.1500487

馆 藏 号:203181095...

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