A monitoring service for relational databases to support advanced data integration on the grid

被引:0
|
作者
Woehrer, Alexander [1 ]
Brezany, Peter [1 ]
机构
[1] Univ Vienna, Inst Sci Comp, Nordbergstr 15-C-3, A-1090 Vienna, Austria
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The trend of Grid computing towards more data intensive applications, accessing more and more relational databases and requiring advanced data integration, is still upstanding. Metadata information, e.g. for selection of suitable candidates among similar sources and the exclusion of not required ones, plays a vital role for efficient data integration on the Grid. However there is a lack of service oriented monitoring tools providing this metadata for relational data sources. We stay abreast of this development and make relational databases first class citizens in Grid computing by providing a service oriented monitoring tool tailored towards them. To the best-of our knowledge, no research effort has been reported on this so far This paper presents novel usage scenarios needing additional metadata and monitoring information about relational data sources on the Grid - in the areas of query optimization, adaptive query processing and data integration management - and requirements to be fulfilled by a monitoring service providing such information. Our approach supports coarse and fine grained information about heterogeneous relational databases via a uniform interface and provides a homogeneous view on the available metadata. We have evaluated our approach by implementing a research prototype based on the Web Service Resource Framework implementation of the current Globus Toolkit. The functionality and performance of the prototype is demonstrated for commonly used relational databases such as MySQL, PostgreSQL and Oracle.
引用
收藏
页码:27 / +
页数:3
相关论文
共 50 条
  • [1] A grid environment for data integration of scientific databases
    Matsuda, H
    [J]. First International Conference on e-Science and Grid Computing, Proceedings, 2005, : 3 - 4
  • [2] Data Integration of Cloud-based and Relational Databases
    Malhotra, Shweta
    Doja, M. N.
    Alam, Bashir
    Alam, Mansaf
    [J]. 2015 INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND IMPLEMENTATIONS (ICSCTI), 2015,
  • [3] Data Provenance Support in Relational Databases for Stored Procedures
    Jurnawan, Winly
    Roehm, Uwe
    [J]. DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, 2009, 5667 : 97 - 111
  • [4] A data integration service based on grid
    Lin, JN
    Wu, HZ
    Chen, XQ
    [J]. SYSTEM SIMULATION AND SCIENTIFIC COMPUTING, VOLS 1 AND 2, PROCEEDINGS, 2005, : 1652 - 1656
  • [5] Service choreography for data integration on the Grid
    Gounaris, Anastasios
    Sakellariou, Rizos
    Comito, Carmela
    Talia, Domenico
    [J]. KNOWLEDGE AND DATA MANAGEMENT IN GRIDS, 2007, : 19 - +
  • [6] Integration of Relational and NoSQL Databases
    Pokorny, Jaroslav
    [J]. VIETNAM JOURNAL OF COMPUTER SCIENCE, 2019, 6 (04) : 389 - 405
  • [7] Integration of Relational and NoSQL Databases
    Pokorny, Jaroslav
    [J]. INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2018, PT II, 2018, 10752 : 35 - 45
  • [8] Object-oriented wrapper for relational databases in the data grid architecture
    Kuliberda, K
    Wislicki, J
    Adamus, R
    Subieta, K
    [J]. ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2005: OTM 2005 WORKSHOPS, PROCEEDINGS, 2005, 3762 : 367 - 376
  • [9] Development of an Efficient, Automated Data Analytics Platform by Integration of Relational Databases
    Yurtsever, N.
    Zenker, J.
    Jacobs, Y.
    Martone, J.
    Sherwani, S.
    Indrikovs, A.
    Chang, T.
    [J]. TRANSFUSION, 2023, 63 : 205A - 206A
  • [10] Integration of CORBA and object relational databases
    Liang, KC
    Chyan, D
    Chang, YS
    Lo, WT
    Yuan, SM
    [J]. COMPUTER STANDARDS & INTERFACES, 2003, 25 (04) : 373 - 389