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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@gmail.com 
Discount Counting for Fast Flow Statistics on Flow Size and 
Flow Volume 
Abstract 
A complete flow statistics report should include both flow size (the number of 
packets in a flow) counting and flow volume (the number of bytes in a flow) counting. 
Although previous studies have contributed a lot to the flow size counting problem, it 
is still a great challenge to well support the flow volume statistics due to the 
demanding requirements on both memory size and memory bandwidth in monitoring 
device. In this paper, we propose a DIScount COunting (DISCO) method, which is 
designed for both flow size and flow bytes counting. For each incoming packet of 
length l, DISCO increases the corresponding counter assigned to the flow with an 
increment that is less than l. With an elaborate design on the counter update rule 
and the inverse estimation, DISCO saves memory consumption while providing an 
accurate unbiased estimator. The method is evaluated thoroughly under theoretical 
analysis and simulations with synthetic and real traces. The results demonstrate that 
DISCO is more accurate than related work given the same counter sizes. DISCO is 
also implemented on the network processor Intel IXP2850 for a performance test. 
Using only one microengine (ME) in IXP2850, the throughput can reach up to 11.1 
Gb/s under a traditional traffic pattern. The throughput increases to 39 Gb/s when 
employing four MEs.
Existing system 
A complete flow statistics report should include both flow size (the number of 
packets in a flow) counting and flow volume (the number of bytes in a flow) counting. 
Although previous studies have contributed a lot to the flow size counting problem, it 
is still a great challenge to well support the flow volume statistics due to the 
demanding requirements on both memory size and memory bandwidth in monitoring 
device. 
Proposed system 
we propose a DIScount COunting (DISCO) method, which is designed for both flow 
size and flow bytes counting. For each incoming packet of length l, DISCO increases 
the corresponding counter assigned to the flow with an increment that is less than l. 
With an elaborate design on the counter update rule and the inverse estimation, 
DISCO saves memory consumption while providing an accurate unbiased estimator. 
The method is evaluated thoroughly under theoretical analysis and simulations with 
synthetic and real traces. The results demonstrate that DISCO is more accurate 
than related work given the same counter sizes. DISCO is also implemented on the 
network processor Intel IXP2850 for a performance test. Using only one microengine 
(ME) in IXP2850, the throughput can reach up to 11.1 Gb/s under a traditional traffic 
pattern. The throughput increases to 39 Gb/s when employing four MEs. 
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.

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IEEE 2014 NS2 NETWORKING PROJECTS Discount counting for fast flow statistics on flow size and flow volume

  • 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@gmail.com Discount Counting for Fast Flow Statistics on Flow Size and Flow Volume Abstract A complete flow statistics report should include both flow size (the number of packets in a flow) counting and flow volume (the number of bytes in a flow) counting. Although previous studies have contributed a lot to the flow size counting problem, it is still a great challenge to well support the flow volume statistics due to the demanding requirements on both memory size and memory bandwidth in monitoring device. In this paper, we propose a DIScount COunting (DISCO) method, which is designed for both flow size and flow bytes counting. For each incoming packet of length l, DISCO increases the corresponding counter assigned to the flow with an increment that is less than l. With an elaborate design on the counter update rule and the inverse estimation, DISCO saves memory consumption while providing an accurate unbiased estimator. The method is evaluated thoroughly under theoretical analysis and simulations with synthetic and real traces. The results demonstrate that DISCO is more accurate than related work given the same counter sizes. DISCO is also implemented on the network processor Intel IXP2850 for a performance test. Using only one microengine (ME) in IXP2850, the throughput can reach up to 11.1 Gb/s under a traditional traffic pattern. The throughput increases to 39 Gb/s when employing four MEs.
  • 2. Existing system A complete flow statistics report should include both flow size (the number of packets in a flow) counting and flow volume (the number of bytes in a flow) counting. Although previous studies have contributed a lot to the flow size counting problem, it is still a great challenge to well support the flow volume statistics due to the demanding requirements on both memory size and memory bandwidth in monitoring device. Proposed system we propose a DIScount COunting (DISCO) method, which is designed for both flow size and flow bytes counting. For each incoming packet of length l, DISCO increases the corresponding counter assigned to the flow with an increment that is less than l. With an elaborate design on the counter update rule and the inverse estimation, DISCO saves memory consumption while providing an accurate unbiased estimator. The method is evaluated thoroughly under theoretical analysis and simulations with synthetic and real traces. The results demonstrate that DISCO is more accurate than related work given the same counter sizes. DISCO is also implemented on the network processor Intel IXP2850 for a performance test. Using only one microengine (ME) in IXP2850, the throughput can reach up to 11.1 Gb/s under a traditional traffic pattern. The throughput increases to 39 Gb/s when employing four MEs. 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
  • 3. SOFTWARE CONFIGURATION:- Operating System : Windows XP Programming Language : JAVA Java Version : JDK 1.6 & above.