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GLOBALSOFT TECHNOLOGIES 
IEEE PROJECTS & SOFTWARE DEVELOPMENTS 
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE 
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS 
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmai l.com 
Signature Searching in a Networked Collection of Files 
Abstract 
A signature is a data pattern of interest in a large data file or set of large data files. Such signatures that 
need to be found arise in applications such as DNA sequence analysis, network intrusion detection, 
biometrics, large scientific experiments, speech recognition and sensor networks. Related to this is 
string matching. More specifically we envision a problem where long linear data files (i.e., flat files) 
contain multiple signatures that are to be found using a multiplicity of processors (parallel processor). 
This paper evaluates the performance of finding signatures in files residing in the nodes of parallel 
processors configured as trees, two dimensional meshes and hypercubes. We assume various 
combinations of sequential and parallel searching. A unique feature of this work is that it is assumed 
that data is pre-loaded onto processors, as may occur in practice, thus load distribution time need not 
be accounted for. Elegant expressions are found for average signature searching time and spee dup, and 
graphical results are provided. 
Existing system 
signature is a data pattern of interest in a large data file or set of large data files. Such signatures that 
need to be found arise in applications such as DNA sequence analysis, network intrusion detection, 
biometrics, large scientific experiments, speech recognition and sensor networks. Related to this is 
string matching. More specifically we envision a problem where long linear data files (i.e., flat files) 
contain multiple signatures that are to be found using a multiplicity of processors (parallel processor).
Proposed system 
This paper evaluates the performance of finding signatures in files residing in the nodes of parallel 
processors configured as trees, two dimensional meshes and hypercubes. We assume various 
combinations of sequential and parallel searching. A unique feature of this work is that it is assumed 
that data is pre-loaded onto processors, as may occur in practice, thus load distribution time need not 
be accounted for. Elegant expressions are found for average signature searching time and speedup, and 
graphical results are provided. 
SYSTEM CONFIGURATION:- 
HARDWARE CONFIGURATION:- 
 Processor - Pentium –IV 
 Speed - 1.1 Ghz 
 RAM - 256 MB(min) 
 Hard Disk - 20 GB 
 Key Board - Standard Windows Keyboard 
 Mouse - Two or Three Button Mouse 
 Monitor - SVGA 
SOFTWARE CONFIGURATION:- 
 Operating System : Windows XP 
 Programming Language : JAVA 
 Java Version : JDK 1.6 & above.
IEEE 2014 DOTNET PARALLEL DISTRIBUTED PROJECTS Signature searching in a networked collection of files

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IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Automatic scaling of internet appli...
 
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS A mechanism design approach to reso...
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS A mechanism design approach to reso...IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS A mechanism design approach to reso...
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS A mechanism design approach to reso...
 
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Smart dc mobility prediction based...
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Smart dc mobility prediction based...IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Smart dc mobility prediction based...
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Smart dc mobility prediction based...
 
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Preserving location-privacy-in-geo...
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Preserving location-privacy-in-geo...IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Preserving location-privacy-in-geo...
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Preserving location-privacy-in-geo...
 
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Autonomous mobile-mesh-networks
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Autonomous mobile-mesh-networksIEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Autonomous mobile-mesh-networks
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS Autonomous mobile-mesh-networks
 
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS A qos-oriented-distributed-routing...
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS A qos-oriented-distributed-routing...IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS A qos-oriented-distributed-routing...
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS A qos-oriented-distributed-routing...
 
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS An active resource orchestration f...
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS An active resource orchestration f...IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS An active resource orchestration f...
IEEE 2014 DOTNET MOBILE COMPUTING PROJECTS An active resource orchestration f...
 
IEEE 2014 DOTNET NETWORKING PROJECTS Secure data-retrieval-for-decentralized-...
IEEE 2014 DOTNET NETWORKING PROJECTS Secure data-retrieval-for-decentralized-...IEEE 2014 DOTNET NETWORKING PROJECTS Secure data-retrieval-for-decentralized-...
IEEE 2014 DOTNET NETWORKING PROJECTS Secure data-retrieval-for-decentralized-...
 
IEEE 2014 DOTNET NETWORKING PROJECTS Qos aware geographic opportunistic routi...
IEEE 2014 DOTNET NETWORKING PROJECTS Qos aware geographic opportunistic routi...IEEE 2014 DOTNET NETWORKING PROJECTS Qos aware geographic opportunistic routi...
IEEE 2014 DOTNET NETWORKING PROJECTS Qos aware geographic opportunistic routi...
 
IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw...
IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw...IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw...
IEEE 2014 DOTNET NETWORKING PROJECTS Pricing under constraints_in_access_netw...
 
IEEE 2014 DOTNET NETWORKING PROJECTS Network intrusion detection system using...
IEEE 2014 DOTNET NETWORKING PROJECTS Network intrusion detection system using...IEEE 2014 DOTNET NETWORKING PROJECTS Network intrusion detection system using...
IEEE 2014 DOTNET NETWORKING PROJECTS Network intrusion detection system using...
 
IEEE 2014 DOTNET NETWORKING PROJECTS Leveraging social networks for p2 p cont...
IEEE 2014 DOTNET NETWORKING PROJECTS Leveraging social networks for p2 p cont...IEEE 2014 DOTNET NETWORKING PROJECTS Leveraging social networks for p2 p cont...
IEEE 2014 DOTNET NETWORKING PROJECTS Leveraging social networks for p2 p cont...
 
IEEE 2014 DOTNET DATA MINING PROJECTS Web image re ranking using query-specif...
IEEE 2014 DOTNET DATA MINING PROJECTS Web image re ranking using query-specif...IEEE 2014 DOTNET DATA MINING PROJECTS Web image re ranking using query-specif...
IEEE 2014 DOTNET DATA MINING PROJECTS Web image re ranking using query-specif...
 

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IEEE 2014 DOTNET PARALLEL DISTRIBUTED PROJECTS Signature searching in a networked collection of files

  • 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmai l.com Signature Searching in a Networked Collection of Files Abstract A signature is a data pattern of interest in a large data file or set of large data files. Such signatures that need to be found arise in applications such as DNA sequence analysis, network intrusion detection, biometrics, large scientific experiments, speech recognition and sensor networks. Related to this is string matching. More specifically we envision a problem where long linear data files (i.e., flat files) contain multiple signatures that are to be found using a multiplicity of processors (parallel processor). This paper evaluates the performance of finding signatures in files residing in the nodes of parallel processors configured as trees, two dimensional meshes and hypercubes. We assume various combinations of sequential and parallel searching. A unique feature of this work is that it is assumed that data is pre-loaded onto processors, as may occur in practice, thus load distribution time need not be accounted for. Elegant expressions are found for average signature searching time and spee dup, and graphical results are provided. Existing system signature is a data pattern of interest in a large data file or set of large data files. Such signatures that need to be found arise in applications such as DNA sequence analysis, network intrusion detection, biometrics, large scientific experiments, speech recognition and sensor networks. Related to this is string matching. More specifically we envision a problem where long linear data files (i.e., flat files) contain multiple signatures that are to be found using a multiplicity of processors (parallel processor).
  • 2. Proposed system This paper evaluates the performance of finding signatures in files residing in the nodes of parallel processors configured as trees, two dimensional meshes and hypercubes. We assume various combinations of sequential and parallel searching. A unique feature of this work is that it is assumed that data is pre-loaded onto processors, as may occur in practice, thus load distribution time need not be accounted for. Elegant expressions are found for average signature searching time and speedup, and graphical results are provided. SYSTEM CONFIGURATION:- HARDWARE CONFIGURATION:-  Processor - Pentium –IV  Speed - 1.1 Ghz  RAM - 256 MB(min)  Hard Disk - 20 GB  Key Board - Standard Windows Keyboard  Mouse - Two or Three Button Mouse  Monitor - SVGA SOFTWARE CONFIGURATION:-  Operating System : Windows XP  Programming Language : JAVA  Java Version : JDK 1.6 & above.