presented by:
Amrita mishra


PARALLEL DATABASE SYSTEMS
INTRODUCTION
 A parallel database system (PDBS) is a DBMS implemented on a parallel computer which is made of a number of nodes (processors and memories) connected by a fast network within a cabinet.
 It strives to exploit modern multiprocessor architectures using software-oriented solutions for data management
OBJECTIVE
 Problems of conventional DBMS
- high disk access time.
- very large databases cant be supportedw ....etc

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VIRTUAL DATABASE TECHNOLOGY FOR DISTRIBUTED DATABASE (DATAMINING)


ABSTRACT:
The main aim of this project is to take the results of different database and to store it in a single database so that there will be no need for the user to search for the specific item on different databases. In this application mainly what we are doing is collecting the data from different search engines while searching by the different user saving in one database so whenever user is sea ....etc

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Web database publishing is a new way to publish information electronically. A typical Web database publishing system has a Web browser as its user interface, a database server as its information store, and a Web server connecting the two. The basic idea of this project is to use JDBC to search databases directly from an Internet Web browser. The database is kept on an NT server. JDBC is used to interact with Web pages. This project uses a simple interface to help the administrator update the database on the Web server. Some security issues are ....etc

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Predictive Job Scheduling in a Connection Limited System using Parallel Genetic Algorithm
Abstract: Job scheduling is the key feature of any computing environment and the efficiency of computing depends largely on the scheduling technique used. Intelligence is the key factor which is lacking in the job scheduling techniques of today. Genetic algorithms are powerful search techniques based on the mechanisms of natural selection and natural genetics.
Multiple jobs are handled by the scheduler and the resource the job needs are in r ....etc

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Virtual Database Technology for Distributed Database



introductionn

In a large modern enterprise, it is almost inevitable that different portions of the organization will use different database management systems to store and search their critical data. Competition, evolving technology, mergers, acquisitions, geographic distribution, and the inevitable decentralization of growth all contribute to this diversity. Yet it is only by combining the information from these system ....etc

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On-line Analytical Processing (OLAP) has become a fundamental component of contemporary decision support systems and represents a means by which knowledge workers can efficiently analyze vast amounts of organizational data. Within the OLAP context, one of the more interesting recent themes has been the computation and manipulation of the data cube, a relational model that can be used to represent summarized multi-dimensional views of massive data warehousing archives.

Over the past five or six years a number of efficient sequential algo ....etc

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Abstract— In this paper, our research objective is to develop a
database virtualization technique so that data analysts or other
users who apply data mining methods to their jobs can use all
ubiquitous databases in the Internet as if they were recognized as a
single database, thereby helping to reduce their workloads such as
data collection from the Internet databases and data cleansing
works. In this study, firstly we examine XML scheme advantages
and propose a database virtualization method by which such
u ....etc

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hello,
My name is Sumit and i have assigned a seminar report on this topic. i have searched a lot but i didn't find any relevant material on this topic. Please provide me with the report of this topic.
Thanks ....etc

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IMPLEMENTING A TEMPORAL DATABASE ON TOP OF A CONVENTIONAL DATABASE ....etc

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On-line Analytical Processing (OLAP) has become a fundamental component of contemporary decision support systems and represents a means by which knowledge workers can efficiently analyze vast amounts of organizational data. Within the OLAP context, one of the more interesting recent themes has been the computation and manipulation of the data cube, a relational model that can be used to represent summarized multi-dimensional views of massive data warehousing archives.

Over the past five or six years a number of efficient sequential algo ....etc

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