Big IoT Data Indexing: Architecture, Techniques and Open Research Challenges

被引:2
作者
Ferrag, Mohamed Amine [1 ]
Kouahla, Zineddine [2 ]
Seridi, Hamid [2 ]
Kurulay, Muhammet [3 ]
机构
[1] Guelma Univ, Dept Comp Sci, Guelma 24000, Algeria
[2] Guelma Univ, Dept Comp Sci, Labst Lab, Guelma 24000, Algeria
[3] Univ Yildiz Tech, Istanbul, Turkey
来源
2019 4TH INTERNATIONAL CONFERENCE ON NETWORKING AND ADVANCED SYSTEMS (ICNAS 2019) | 2019年
关键词
Big IoT Data; Indexing; Query; Information Retrieval; SIMILARITY SEARCH; TREE;
D O I
10.1109/icnas.2019.8807848
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
As the miniaturization of Internet of Things (IoT) devices has increased, significant quantities of data have been developed in the last decade.This explosion has created the need to manage these volumes of data to make the most of this mass of information for an ever-growing audience. Effective indexing and searching in large data collections is therefore a very topical and urgent issue. Many data, IoT and indexing solutions have given users valuable information about the large volumes of information produced by IoT devices. However, these solutions are still in their initial phases and there is no exhaustive study in the field. This article examines advanced research efforts to index large data on IoT. In addition, this survey shows the study of IoT data on a large scale. In addition, the main types, methods and technologies of IoT data analysis for large-scale data mining are discussed. These include open research challenges, such as privacy protection and large-scale data mining.
引用
收藏
页码:140 / 145
页数:6
相关论文
共 36 条
[1]   Modeling content for semantic-level querying of multimedia [J].
Agius, HW ;
Angelides, MC .
MULTIMEDIA TOOLS AND APPLICATIONS, 2001, 15 (01) :5-37
[2]  
Arroyuelo D., 2014, SIMILARITY SEARCH AP
[3]  
Berchtold S., 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073), P577, DOI 10.1109/ICDE.2000.839456
[4]  
Beyer K, 1999, LECT NOTES COMPUT SC, V1540, P217
[5]  
Bok KS, 2006, LECT NOTES COMPUT SC, V3882, P870
[6]   Indexing large metric spaces for similarity search queries [J].
Bozkaya, T ;
Ozsoyoglu, M .
ACM TRANSACTIONS ON DATABASE SYSTEMS, 1999, 24 (03) :361-404
[7]  
Chavez E., 2001, ACM COMPUTING SURVEY, V33
[8]  
chee F. A. W., 2012, VLDB J VERY LARGE DA
[9]   Efficient Metric Indexing for Similarity Search and Similarity Joins [J].
Chen, Lu ;
Gao, Yunjun ;
Li, Xinhan ;
Jensen, Christian S. ;
Chen, Gang .
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 29 (03) :556-571
[10]  
Ciaccia P, 1997, PROCEEDINGS OF THE TWENTY-THIRD INTERNATIONAL CONFERENCE ON VERY LARGE DATABASES, P426