Abstract
The
peer-to-peer (P2P) paradigm has become very popular for storing and sharing
information in a totally decentralized manner. At first, research focused on
P2P systems that host 1D data. Nowadays, the need for P2P applications with
multidimensional data has emerged, motivating research on P2P systems that manage
such data. The majority of the proposed techniques are based either on the
distribution of centralized indexes or on the reduction of multidimensional
data to one dimension. Our goal is to create from scratch a technique that is
inherently distributed and also maintains the multidimensionality of data. Our
focus is on structured P2P systems that share spatial information. We present
SPATIALP2P, a totally decentralized indexing and searching framework that is suitable
for spatial data. SPATIALP2P supports P2P applications in which spatial
information of various sizes can be dynamically inserted or deleted, and peers
can join or leave. The proposed technique preserves well locality and
directionality of space.
Existing
System:
This
system only using centralized network and using only the centralized index or on the reduction of multidimensional data
to one dimension. It make time consuming problem because the data are retrieve from
the database take more time. Query check all rows in the table when retrieve
needed data. Un wanted search process
while retrieve the from table.
Proposed
System:
This
system to create from scratch a technique that is inherently distributed and
also maintains the multidimensionality of data. Our focus is on structured P2P
systems that share spatial information. We present SPATIALP2P, a totally decentralized
indexing and searching framework that is suitable for spatial data. SPATIALP2P
provides storing, indexing, and searching services for spatial data in a P2P
network. This is locality based search system.
Requirement
Analysis:
Software Requirements
Java1.5
Java Swing
Sql Server 2000
Windows Xp.
Hardware Requirements
Hard disk : 60GB
RAM : 1GB
Processor : P IV
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