distirbuted database introduction

8/9/2019 Distirbuted DataBase Introduction

1/29

Distributed DBMS 1998 M. Tamer zsu & Patrick Valduriez Page 1.1

Outline Introduction

What is a distributed DBMS

ProblemsCurrent state-of-affairs

Background Distributed DBMS Architecture

Distributed Database Design Semantic Data Control Distributed Query Processing Distributed Transaction Management Parallel Database Systems Distributed Object DBMS Database Interoperability

Current Issues


2/29


File Systems

program 1

data description 1

program 2

data description 2

program 3

data description 3

File 1

File 2

File 3


3/29


Database Management

database

DBMS

Applicationprogram 1

(with datasemantics)

Applicationprogram 2(with datasemantics)

Applicationprogram 3(with datasemantics)

description

manipulationcontrol


4/29


Motivation

DatabaseTechnology

ComputerNetworks

integration distribution

integration

integration centralization

Distributed

Database

Systems


5/29


Distributed Computing

I A concept in search of a definition and a name.

I A number of autonomous processing elements(not necessarily homogeneous) that areinterconnected by a computer network and thatcooperate in performing their assigned tasks.


6/29


I Synonymous termsdistributed function

distributed data processing

multiprocessors/multicomputers

satellite processing backend processing

dedicated/special purpose computers

timeshared systems

functionally modular systems

Distributed Computing


7/29


I Processing logic

I Functions

I Data

I Control

What is distributed


8/29


What is a Distributed Database

System?

A distributed database (DDB) is a collection of multiple,

logically interrelated databases distributed over acomputer network.

A distributed database management system (DDBMS)is the software that manages the DDB and provides anaccess mechanism that makes this distributiontransparent to the users.

Distributed database system (DDBS) = DDB + DDBMS


9/29


I A timesharing computer system

I A loosely or tightly coupled multiprocessor

system

I A database system which resides at one of thenodes of a network of computers - this is a

centralized database on a network node

What is not a DDBS?


10/29


Centralized DBMS on a Network

CommunicationNetwork

Site 5

Site 1

Site 2

Site 3Site 4


11/29


Distributed DBMS Environment


Site 5

Site 1

Site 2

Site 3Site 4


12/29


Implicit Assumptions

I Data stored at a number of sites each site

logically consists of a single processor.I Processors at different sites are interconnected

by a computer network no multiprocessorsparallel database systems

I Distributed database is a database, not acollection of files data logically related asexhibited in the users access patterns relational data model

I D-DBMS is a full-fledged DBMSnot remote file system, not a TP system


13/29


Shared-Memory Architecture

Examples : symmetric multiprocessors (Sequent,Encore) and some mainframes(IBM3090, Bull's DPS8)

P1

Pn

M

D


14/29


Shared-Disk Architecture

Examples : DEC's VAXcluster, IBM's IMS/VSData Sharing

DP1

M1

Pn

Mn


15/29


Shared-Nothing Architecture

Examples : Teradata's DBC, Tandem, Intel'sParagon, NCR's 3600 and 3700

P1

M1

D1Pn

Mn

Dn


16/29


I Manufacturing - especially multi-plant

manufacturingI Military command and control

I EFT

I Corporate MISI Airlines

I Hotel chains

I Any organization which has adecentralized organization structure

Applications


17/29


Distributed DBMS Promises

Transparent management of distributed,fragmented, and replicated data

Improved reliability/availability through

distributed transactions

Improved performance

Easier and more economical system expansion


18/29


TransparencyI Transparency is the separation of the higher level

semantics of a system from the lower levelimplementation issues.

I Fundamental issue is to providedata independence

in the distributed environment

Network (distribution) transparency

Replication transparency

Fragmentation transparencyN horizontal fragmentation: selectionN vertical fragmentation: projectionN hybrid


19/29


Example

TITLE SAL

PAY

Elect. Eng. 40000Syst. Anal. 34000Mech. Eng. 27000Programmer 24000

PROJ

PNO PNAME BUDGET

ENO ENAME TITLE

E1 J. Doe Elect. Eng.E2 M. Smith Syst. Anal.E3 A. Lee Mech. Eng.E4 J. Miller ProgrammerE5 B. Casey Syst. Anal.E6 L. Chu Elect. Eng.E7 R. Davis Mech. Eng.

E8 J. Jones Syst. Anal.

EMP

ENO PNO RESP

E1 P1 Manager 12

DUR

E2 P1 Analyst 24E2 P2 Analyst 6E3 P3 Consultant 10E3 P4 Engineer 48E4 P2 Programmer 18E5 P2 Manager 24

E6 P4 Manager 48E7 P3 Engineer 36

E8 P3 Manager 40

ASG

P1 Instrumentation 150000

P3 CAD/CAM 250000P2 Database Develop. 135000

P4 Maintenance 310000

E7 P5 Engineer 23


20/29


Transparent Access

SELECT ENAME,SAL

FROM EMP,ASG,PAY

WHERE DUR > 12

AND EMP.ENO = ASG.ENO

AND PAY.TITLE = EMP.TITLE Paris projects

Paris employees

Paris assignments

Boston employees

Montreal projects

Paris projects

New York projects

with budget > 200000

Montreal employees

Montreal assignments

Boston


Montreal

Paris

NewYork

Boston projects

Boston employees

Boston assignments

Boston projects

New York employees

New York projects

New York assignments

Tokyo


21/29


Distributed Database - User View

Distributed Database


22/29


Distributed DBMS - Reality

CommunicationSubsystem

UserQuery

DBMS

Software

DBMSSoftware

UserApplication

DBMSSoftware

UserApplicationUser

Query

DBMS

Software

UserQuery

DBMSSoftware


23/29


Potentially Improved Performance

I Proximity of data to its points of useRequires some support for fragmentation and replication

I

Parallelism in execution Inter-query parallelism

Intra-query parallelism


24/29


Parallelism Requirements

I Have as much of the data required by eachapplication at the site where the applicationexecutes

Full replication

I How about updates?

Updates to replicated data requires implementation of

distributed concurrency control and commit protocols


25/29


System Expansion

I Issue is database scaling

I Emergence of microprocessor and workstationtechnologies

Demise of Grosh's law

Client-server model of computing

I Data communication cost vs telecommunicationcost


26/29


Distributed DBMS Issues

IDistributed Database Design

how to distribute the database replicated & non-replicated database distribution

a related problem in directory management

I Query Processing convert user transactions to data manipulation

instructions

optimization problem

min{cost = data transmission + local processing}

general formulation is NP-hard


27/29


Distributed DBMS Issues

I Concurrency Control synchronization of concurrent accesses

consistency and isolation of transactions' effects

deadlock management

I Reliability

how to make the system resilient to failures

atomicity and durability


28/29


DirectoryManagement

Relationship Between Issues

Reliability

DeadlockManagement

Query

Processing

Concurrency

Control

Distribution

Design


29/29


I

Operating System Support operating system with proper support for database

operations

dichotomy between general purpose processingrequirements and database processing requirements

I Open Systems and InteroperabilityDistributed Multidatabase Systems

More probable scenario

Parallel issues

Related Issues

distirbuted database introduction

Documents