Approximate Query Processing for Big Data in Heterogeneous Databases

被引：5
作者：
Muniswamaiah, Manoj [1 ]
Agerwala, Tilak [1 ]
Tappert, Charles C. [1 ]
机构：
[1] Pace Univ, Seidenberg Sch CSIS, New York, NY 10038 USA
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2020年
关键词：
Big Data; approximate query processing (AQP); database; query optimizer;
D O I：
10.1109/BigData50022.2020.9378310
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Big Data analytics is used in decision making. It involves heavy computation to obtain exact answers. To alleviate this problem, approximate query processing (AQP) was adopted, which provides approximate results with error bounds. The AQP models which have been proposed are supported only by a single database. In an organization, big data is stored in multiple databases that have different data models. This research aims to provide AQP as a middleware solution using query optimization for heterogeneous databases.
引用
收藏
页码：5765 / 5767
页数：3
相关论文
共 50 条
  • [1] Federated Query processing for Big Data in Data Science
    Muniswamaiah, Manoj
    Agerwala, Tilak
    Tappert, Charles C.
    2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, : 6145 - 6147
  • [2] Diversification on big data in query processing
    Meifan Zhang
    Hongzhi Wang
    Jianzhong Li
    Hong Gao
    Frontiers of Computer Science, 2020, 14
  • [3] Diversification on big data in query processing
    Zhang, Meifan
    Wang, Hongzhi
    Li, Jianzhong
    Gao, Hong
    FRONTIERS OF COMPUTER SCIENCE, 2020, 14 (04)
  • [4] Big Data normalization for massively parallel processing databases
    Golov, Nikolay
    Ronnback, Lars
    COMPUTER STANDARDS & INTERFACES, 2017, 54 : 86 - 93
  • [5] Big Data Normalization for Massively Parallel Processing Databases
    Golov, Nikolay
    Ronnback, Lars
    ADVANCES IN CONCEPTUAL MODELING, ER 2015 WORKSHOPS, 2015, 9382 : 154 - 163
  • [6] Incremental Query Processing on Big Data Streams
    Fegaras, Leonidas
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 28 (11) : 2998 - 3012
  • [7] A learned cost model for big data query processing
    Li, Yan
    Wang, Liwei
    Wang, Sheng
    Sun, Yuan
    Zheng, Bolong
    Peng, Zhiyong
    INFORMATION SCIENCES, 2024, 670
  • [8] Distributed Join Query Processing for Big RDF Data
    Elzein, Nahla Mohammed
    Majid, Mazlina Abdul
    Fakherldin, Mohammed
    Hashem, Ibrahim Abaker Targio
    ADVANCED SCIENCE LETTERS, 2018, 24 (10) : 7758 - 7761
  • [9] Bounded Approximate Query Processing
    Li, Kaiyu
    Zhang, Yong
    Li, Guoliang
    Tao, Wenbo
    Yan, Ying
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2019, 31 (12) : 2262 - 2276
  • [10] Data allocation optimization for query processing in graph databases using Lucene
    Mathew, Anita Brigit
    COMPUTERS & ELECTRICAL ENGINEERING, 2018, 70 : 1019 - 1033
12345