Distributed Architecture of Data Retrieval Algorithm based on Hadoop Considering Abnormal Information

As digital media continues to grow, how to retrieve and efficiently store multi-modal data is becoming a major issue. Most of the existing retrieval algorithms focus on the analysis of a single modality, which often fail to achieve the established accuracy target, and usually consume a lot of time. To deal with these tough challenges, this paper studies the distributed architecture of the data retrieval algorithm based on the Hadoop considering abnormal information. In our method, 3 aspects are considered: 1) background is studied to review the state-of-the-art appraoches for the efficient data analysis model. 2) novel data retrieval algorithm is proposed, it then improves the traditional methods. 3) novel data retrieval algorithm is proposed, it improves the traditional methods. Through the testing undert the Wikipedia dataset, the performance is validated.