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A TRAFFIC ENGINEERING APPROACH FOR PLACEMENT AND
SELECTION OF NETWORK SERVICES
Abstract:
 Network services are provided by means of dedicated service
gateways, through which traffic flows are directed.
 Existing work on service gateway placement has been
primarily focused on minimizing the length of the routes
through these gateways.
 Only limited attention has been paid to the effect these routes
have on overall network performance.
 We propose a novel approach for the service placement
problem, which takes into account traffic engineering
considerations. Rather than trying to minimize the Length of
the traffic flow routes, we take advantage of these routes in
order to enhance the overall network performance.
 We divide the problem into two sub problems:
• finding the best location for each service
gateway,
• Selecting the best service gateway for each
flow.
 We propose efficient algorithms for both problems and study
their performance.
 Our main contribution is showing that placement and selection
of network services can be used as effective tools for traffic
engineering.
EXISTING SYSTEM
Existing work on service gateway placement has been primarily
focused on minimizing the length of the routes through these gateways. Only
limited attention has been paid to the effect these routes have on overall
network performance. Existing system refers to the system that is being
followed till now.
DISADVANTAGE
 Wastage of time to send file or data
 Poor quality of service to one gateway to another gateway
 Traffic is very high.
PROPOSED SYSTEM
We propose to facilitate traffic engineering in such networks by
judiciously placing the service gateways in the network and selecting the
gateways to be traversed by each flow.
ADVANTAGE
 Traditional traffic engineering schemes are usually based on the
deployment of an underlying virtual circuit technology.
 The effectiveness of traditional traffic engineering schemes is limited
if the gateways are located very close to each other.
We address the problem by dividing it into the following two sub problems:
 The service placement problem: finding the best location for each
service gateway,
 The gateway selection problem: selecting the best service gateway to
accommodate each flow.
The service placement problem is addressed in the offline context by
considering the long-term average distribution of the source–destination
traffic for each service type, which can be obtained using traffic matrix
estimation. We use this information to decide on the best location for each
service gateway.
HARDWARE AND SOFTWARE SPECIFICATIONS
HARDWARE REQUIREMENTS:
• PIV 2.8 GHz Processor and Above
• RAM 512MB and Above
• HDD 20 GB Hard Disk Space and Above
SOFTWARE REQUIREMENTS:
• WINDOWS OS (XP / 2000 / 200 Server / 2003 Server)
• Visual Studio .Net 2005 Enterprise Edition
• Internet Information Server 5.0 (IIS)
• Visual Studio .Net Framework (Minimal for Deployment)
• SQL Server 2000 Enterprise Edition
ANALYSIS AND DESIGN:
a. Use Case Diagram (UML):
b. Description of modules:
Modules:
There are three Main modules consider here:
• Sender
• Gateway
• Receiver
Sender:
In sender part, first upon we collect destination address before
we send files. The files may contain data’s, or audio file. We
will send specified file here. Then we select appropriate
network service (i.e., Gateway) before we sending files.
Gateway:
Then important thing is considered as Network service (i.e.,
Gateway).It achieves load balancing, traffic flow controls,
dynamically adjusting to the network load. Through this
gateway, minimizing service latency and improving resiliency.
Receiver:
Finally we face receiver part. In the state we perform receiving
files from respected source. The receiver may know who send
the files.
c. DATA Flow Diagram (DFD) :
Sender
Gateway
1
Gateway
2
Receiver 1
Gateway
3
Receiver 2 Receiver 3

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A traffic engineering

  • 1. A TRAFFIC ENGINEERING APPROACH FOR PLACEMENT AND SELECTION OF NETWORK SERVICES Abstract:  Network services are provided by means of dedicated service gateways, through which traffic flows are directed.  Existing work on service gateway placement has been primarily focused on minimizing the length of the routes through these gateways.  Only limited attention has been paid to the effect these routes have on overall network performance.  We propose a novel approach for the service placement problem, which takes into account traffic engineering considerations. Rather than trying to minimize the Length of the traffic flow routes, we take advantage of these routes in order to enhance the overall network performance.  We divide the problem into two sub problems: • finding the best location for each service gateway, • Selecting the best service gateway for each flow.  We propose efficient algorithms for both problems and study their performance.
  • 2.  Our main contribution is showing that placement and selection of network services can be used as effective tools for traffic engineering. EXISTING SYSTEM Existing work on service gateway placement has been primarily focused on minimizing the length of the routes through these gateways. Only limited attention has been paid to the effect these routes have on overall network performance. Existing system refers to the system that is being followed till now. DISADVANTAGE  Wastage of time to send file or data  Poor quality of service to one gateway to another gateway  Traffic is very high. PROPOSED SYSTEM We propose to facilitate traffic engineering in such networks by judiciously placing the service gateways in the network and selecting the gateways to be traversed by each flow.
  • 3. ADVANTAGE  Traditional traffic engineering schemes are usually based on the deployment of an underlying virtual circuit technology.  The effectiveness of traditional traffic engineering schemes is limited if the gateways are located very close to each other. We address the problem by dividing it into the following two sub problems:  The service placement problem: finding the best location for each service gateway,  The gateway selection problem: selecting the best service gateway to accommodate each flow. The service placement problem is addressed in the offline context by considering the long-term average distribution of the source–destination traffic for each service type, which can be obtained using traffic matrix estimation. We use this information to decide on the best location for each service gateway. HARDWARE AND SOFTWARE SPECIFICATIONS HARDWARE REQUIREMENTS: • PIV 2.8 GHz Processor and Above • RAM 512MB and Above
  • 4. • HDD 20 GB Hard Disk Space and Above SOFTWARE REQUIREMENTS: • WINDOWS OS (XP / 2000 / 200 Server / 2003 Server) • Visual Studio .Net 2005 Enterprise Edition • Internet Information Server 5.0 (IIS) • Visual Studio .Net Framework (Minimal for Deployment) • SQL Server 2000 Enterprise Edition ANALYSIS AND DESIGN: a. Use Case Diagram (UML):
  • 5. b. Description of modules: Modules: There are three Main modules consider here: • Sender • Gateway • Receiver Sender: In sender part, first upon we collect destination address before we send files. The files may contain data’s, or audio file. We will send specified file here. Then we select appropriate network service (i.e., Gateway) before we sending files. Gateway:
  • 6. Then important thing is considered as Network service (i.e., Gateway).It achieves load balancing, traffic flow controls, dynamically adjusting to the network load. Through this gateway, minimizing service latency and improving resiliency. Receiver: Finally we face receiver part. In the state we perform receiving files from respected source. The receiver may know who send the files. c. DATA Flow Diagram (DFD) :