Yan Cui
ITK478
Position paper
Issues in enterprises
 “…organizations merge or takeover since the existing
systems have been designed for different corporate
needs, the resulting enterprise will have to face
information inconsistency, heterogeneity and
incompatible overlap”. Wijegunartne, Fernandez and
Vltoudis in [1]
 “…a large modern enterprise, it is also inevitable that
…use different database systems to store and search
their critical data. Competition, evolving technology,
mergers, acquisitions, geographic distribution, and …
decentralization of growth…” Haas and Lin in [2]
Database system approaches
 Compare two major database system approaches:
 Federated database system approach
 Distributed database system approach
Distributed database system
 Fragmentation of OODBs
 The Fragmentation Process in OODBs (horizontal
fragmentation and vertical fragmentation)
 Heuristics for the Fragmentation Process in OODBs
 Allocation of OODBs
Federated database system
 Characteristics of federated solution
 Transparency
 Heterogeneity
 A high degree of function
 Extensibility and openness of the federation
 Autonomy for data sources
 Optimized performance
 Case study in Xperanto and Australian Gas & Light
Company (AGL)
Federated database system (cont)
 Case study in Xperanto
 Xperanto architecture
 Xperanto XML schema mapping
 Xperanto query processing and XML
documentation construction
Federated database system (cont)
 Case study: Australian Gas & Light Company
(AGL)
 Federated architecture
 The AGL Data integration
Conclusion:
 Distributed database system has several disadvantages
are complexity, economic, difficulty to maintain data
integration, database access.
 federated database system provides transparency,
autonomy, optimized performance, accessibility, and
query standard through multiple DBMSs.
Questions?
Reference:
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[1] Inji Wijegunaratne, George Fernandez, John Valtoudis. 2000. “A Federated Architecture for
Enterprise Data Integration”, 2000 Australian Software Engineering Conference. Retrieved September
12, 2007.
(http://portal.acm.org.proxy.lib.ilstu.edu:2048/citation.cfm?id=787253&coll=Portal&dl=GUIDE&CFI
D=5277637&CFTOKEN=95867344)
[2] Laura Haas, Eileen Lin, 2002 “IBM Federated Database Technology”, IBM, retrieved September 10,
2007 (http://www.ibm.com/developerworks/db2/library/techarticle/0203haas/0203haas.html)
[3] F. Baião, M. Mattoso, and G. Zaverucha, "A framework for the design of distributed databases. "in
Proceedings in Informatics 14. Distributed Data & Structures 4--Records of the 4th International
Meeting, W. Litwin, and G. Lévy (Eds.), Carleton Scientific, 2002, pp. 29-36.
[4] M. Özsu and P. Valduriez, Principles of Distributed Database Systems, 2nd edition (1st edition
1991), New Jersey, Prentice-Hall, 1999.
[5] Michael J. Carey, Jerry Kiernan. 2000. “XPERANTO: Middleware for Publishing Object-Relational
Data as XML Documents”, 26th International Conference. Retrieved September 13, 2007.
(http://portal.acm.org.proxy.lib.ilstu.edu:2048/citation.cfm?id=671862&coll=Portal&dl=GUIDE&CFI
D=5277637&CFTOKEN=95867344)
[6] Fernanda Araujo Baião , Marta Mattoso , Gerson Zaverucha, Towards an Inductive Design of
Distributed Object Oriented Databases, Proceedings of the 3rd IFCIS International Conference on
Cooperative Information Systems, p.188-197, August 20-22, 1998.
[7] Ishfaq Ahmad , Kamalakar Karlapalem , Yu-Kwong Kwok , Siu-Kai So, Evolutionary Algorithms for
Allocating Data in Distributed Database Systems, Distributed and Parallel Databases, v.11 n.1, p.5-32,
January 2002.
[8] Ishfaq Ahmad, Yu-kwong Kwok, Siu-kai So, Evolutionary Algorithms for Allocating Data in
Distributed Database Systems, Distributed and Parallel Databases, 11, 5–32, 2002.