Data Synchronization Model for Heterogeneous Mobile Databases and Server-side Database

被引:0
|
作者
Imam, Abdullahi Abubakar [1 ,2 ]
Basri, Shuib [1 ]
Ahmad, Rohiza [1 ]
Gilal, Abdul Rehman [3 ]
机构
[1] Univ Teknol PETRONAS Malaysia, Dept Comp & Informat Sci, Seri Iskander, Perak, Malaysia
[2] Ahmadu Bello Univ, Dept Comp Sci, Zaria, Nigeria
[3] Sukkur IBA Univ, Dept Comp Sci, Sukkur, Pakistan
关键词
Heterogeneous databases; data synchronization; mobile databases; mobile devices; NoSQL database; relational databases;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Mobile devices, because they can be used to access corporate information anytime anywhere, have recently received considerable attention, and several research efforts have been tailored towards addressing data synchronization problems. However, the solutions are either vendor specific or homogeneous in nature. This paper proposed Heterogeneous Mobile Database Synchronization Model (HMDSM) to enable all mobile databases (regardless of their individual differences) and participate in any data synchronization process. To accomplish this, an experimental approach (exploratory and confirmatory) was employed. Also existing models and algorithms are classified, protracted and applied. All database peculiar information, such as trigger, timestamp and meta-data are eliminated. A listener is added to listen to any operation performed from either side. To prove its performance, the proposed model underwent rigorous experimentation and testing. X-2 test was used to analyze the data generated from the experiment. Results show the feasibility of having an approach which can handle database synchronization between heterogeneous mobile databases and the server. The proposed model does not only prove its generic nature to all mobile databases but also reduces the use of mobile resources; thus suitable for mobile devices with low computing power to proficiently process large amount of data.
引用
收藏
页码:521 / 531
页数:11
相关论文
共 50 条
  • [31] Dehashing: Server-Side Context-Aware Feature Reconstruction for Mobile Visual Search
    Kuo, Yin-Hsi
    Hsu, Winston H.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 27 (01) : 139 - 148
  • [32] HSM-Based Architecture to Detect Insider Attacks on Server-Side Data
    Dib, Marc
    Pierre, Samuel
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2025, 20 : 2538 - 2549
  • [33] Database Synchronization Model for Mobile Devices
    Domingos, Joao
    Simoes, Nuno
    Pereira, Paulo
    Silva, Catarina
    Marcelino, Luis
    PROCEEDINGS OF THE 2014 9TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI 2014), 2014,
  • [34] Data Synchronization Tool for Distributed Heterogeneous Database
    Xu Z.-J.
    Ye S.
    Zhang X.
    Ruan Jian Xue Bao/Journal of Software, 2019, 30 (03): : 684 - 699
  • [35] Server-Side Distinction of User Mobility Using Machine Learning on Incoming Data Traffic
    Alamleh, Hosam
    AlQahtani, Ali Abdullah S.
    Al Smadi, Baker
    2022 IEEE INTERNATIONAL IOT, ELECTRONICS AND MECHATRONICS CONFERENCE (IEMTRONICS), 2022, : 230 - 233
  • [36] Research in Synchronization Optimization of the Distributed Heterogeneous Database Data
    Zhang, ZhenYou
    Liu, LiHong
    Zhang, Rui
    ADVANCES IN COMPUTER SCIENCE, ENVIRONMENT, ECOINFORMATICS, AND EDUCATION, PT 5, 2011, 218 : 65 - +
  • [37] The Achievement of Data Exchange for SQLite Database of Android Terminals and Heterogeneous Database of Server
    Wu, Tao
    Wei, Zhen-gang
    Song, Wei-jiao
    INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (ICCSAI 2014), 2015, : 34 - 37
  • [38] A variable consistent server replication model for mobile database
    Xu, JH
    Xu, M
    ADVANCED PARALLEL PROCESSING TECHNOLOGIES, PROCEEDINGS, 2003, 2834 : 634 - 642
  • [39] BENCHMARKING SERVER-SIDE SOFTWARE MODULES FOR HANDLING AND PROCESSING REMOTE SENSING DATA THROUGH RASDAMAN
    Karmas, Athanasios
    Karantzalos, Konstantinos
    2015 7TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2015,
  • [40] A Hybrid Approach to Detect Injection Attacks on Server-side Applications using Data Mining Techniques
    Ahmed, Abu Syeed Sajid
    Shachi, Mehjabeen
    Brishty, Afsana Afrin
    Siddiqui, Nurnaby
    Sakib, Nazmus
    2021 3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE TECHNOLOGIES FOR INDUSTRY 4.0 (STI), 2021,