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Issues In Distributed Data
Management
Heterogeneous Distributed Database
- Philip K. Nukpe
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Heterogeneous Distributed Database
Heterogeneous Distributed Database
- Philip K. Nukpe
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Definition: ‘Composed of heterogeneous hardware, operating system
database management system and applications’
 Provides logically integrated view of existing heterogeneous
distributed databases.
 The three-level architecture of a Heterogeneous Distributed
Database System (HDDMS)
User
User
External
Schema 1
User
External
Schema 2
User
External
Schema 3
Conceptual
Schema
Internal
Schema
Heterogeneous Distributed Database
- Philip K. Nukpe
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Challenges posed by integrating distributed
databases:
 Data management system (different vendors)
 Data Models (i.e. relational, text indexing, object)
 Query the transaction processing algorithms
 Data types (i.e., text graphics, multimedia, hypermedia)
 Format (i.e. Structured, unstructured)
Semantics
Heterogeneous Distributed Database
- Philip K. Nukpe
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 In a heterogeneous database (HDD), the local database
is not managed by the same distributed database
management system.
 Federated Database:
“ A combination of autonomous, heterogeneous
databases that are operating together”
 Co-ordinating software is called Federated DBMS
 Component Databases are individual databases that take
part in a Federated Database System.
 Component databases can continue to execute local tasks
while participating in a federation.
Heterogeneous Distributed Database
- Philip K. Nukpe
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 Typical Heterogeneous databases include:


World Wide Web
Multimedia
 Preservation of the database’s autonomy is paramount.
 Data access facilities in Heterogeneous Database
Systems can range from:
 browsing across component databases
 querying a centralised data warehouse
 querying multiple databases.
 A heterogeneous database system can be provided with
a multidatabase query language.
Heterogeneous Distributed Database
- Philip K. Nukpe
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 This allows queries to be expressed with direct
reference to elements(data) of the component
database.
 Multidatabase has been classified according to the
following criteria:
1. Distribution:
Data can be placed in many distributed databases.
Databases can be found in the same or different
computer systems.
2. Heterogeneity:
This is found in the differences in technology i.e.,
software, hardware, and operating system.
Heterogeneous Distributed Database
- Philip K. Nukpe
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The two types of heterogeneity are those that are due to:
- differences in various DBMSs
- differences in data semantics
3. Autonomy:
A component database can have the following autonomies:
• Design Autonomy (Choice of data presentation and
attributes)
• Communication Autonomy (ability to decide on
its own when to communicate with other
components of the federated database system.)
• Execution Autonomy:( ability to execute some of
its operations locally without influence by external
operations that are executed in other component
databases or in the federation database system)
Heterogeneous Distributed Database
- Philip K. Nukpe
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 Component database in a federation although
autonomous, allow partial and controlled sharing of their
data.
A federated database can be classified into two classes
depending on who manages the federation and how the
component database are co ordinating:
 LOOSELY COUPLED FEDERATED DATABSE
SYSTEM



User required to take responsibility of producing and managing
the federation.
No control from the federation database or mangers.
Also called Interoperable
Database System
Heterogeneous Distributed Database
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- Philip K. Nukpe
 TIGHTLY COUPLED FEDERATED DATABASE


Federate system and managers produce and manage the
federation
Responsible for controlling the component databases.
 PROBLEMS IN INTEGRATING
HETEROGENEOUS DATABASES

Semantic Heterogeneity (Different Database
designers represent the same object in different ways.)
e.g. Synonyms - same entity different names
Homonyms - different entities same names
Heterogeneous Distributed Database
- Philip K. Nukpe
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 Description Heterogeneity(Different characteristics are
used to describe the same object)
 Model Heterogeneity(use of different models to represent
the same data e.g. SSADM, E-R Diagram, Use Cases)
REQUIREMENT FOR FDDMS
 Provision of a homogeneous interface (federated schema)
to overcome heterogeneity)
Autonomy of local databases(CDBS) to be maintained.
Federated schema to maintain definition of external schema.
The support of mechanism to guarantee consistency.
Heterogeneous Distributed Database
- Philip K. Nukpe
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Characteristics of FDB Environment
 Due to decentralisation of corporate data,
heterogeneous software, hardware are required
hence FDBS is the natural choice for such
systems.
 Fragmentation Transparency
 Location Transparency
 Local Transparency
(Diagram )
Heterogeneous Distributed Database
- Philip K. Nukpe
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External
Schema
External
Schema
Federated Schema
Export
Schema
External
Schema
Federated Schema
Export
Schema
Component
Schema
Local
Schema
LDBC
Export
Schema
Component
Schema
Local
Schema
LDBC
Heterogeneous Distributed Database
- Philip K. Nukpe
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Federated Multidatabase Architecture
Local Schema
Conceptual Schema of a component Database
Component Schema
Translation of local Schema into data model
Export Schema
Subset of component Schema
Include access control
Heterogeneous Distributed Database
- Philip K. Nukpe
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Federated Schema
integrates export Schema & Include information
on data distribution
support distribution feature of FDBS
External Schema
Define user/application interface
Heterogeneous Distributed Database
- Philip K. Nukpe
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 Common (Canonical)Data Model (CDM)

mapping of a component data model database to the
data model of all participating systems in a
Multidatabase systems.
 Transaction Management
 Serialisability
Tickets
Heterogeneous Distributed Database
- Philip K. Nukpe
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Tickets operations
• Only global transactions must take ticket values
• Local transaction don’t take ticket values
•Two Approaches to using Tickets
• Optimistic Ticket Method (OTM)
• Conservative (pessimistic) Ticket Method
(CTM)
Heterogeneous Distributed Database
- Philip K. Nukpe
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