Good put-Aware Load Distribution For Real-Time Traffic Over Multipath Networks

ABSTRACT:

Load distribution is a key research issue in deploying the limited network resources available to support traffic transmissions. Developing an effective solution is critical for enhancing traffic performance and network utilization. In this paper, we investigate the problem of load distribution for real-time traffic over multipath networks. Due to the path diversity and unreliability in heterogeneous overlay networks, large end-to-end delay and consecutive packet losses can significantly degrade the traffic flow’s good put, whereas existing studies mainly focus on the delay or throughput performance. To address the challenging problems, we propose a Good put- Aware Load distribution (GALTON) model that includes three phases: (1) path status estimation to accurately sense the quality of each transport link, (2) flow rate assignment to optimize the aggregate good put of input traffic, and (3) deadline-constrained packet interleaving to mitigate consecutive losses. We present a mathematical formulation for multipath load distribution and derive the solution based on utility theory. The performance of the proposed model is evaluated through semi-physical emulations in Exacta involving both real Internet traffic traces and H.264 video streaming. Experimental results show that GALTON outperforms existing traffic distribution models in terms of good put, video PSNR (Peak Signal-to-Noise Ratio), end-to-end delay, and aggregate loss rate.

AIM

The aim of this paper is to investigate the problem of load distribution for real-time traffic over multipath networks.

SCOPE

 GALTON outperforms existing traffic distribution models in terms of good put, video PSNR (Peak Signal-to-Noise Ratio), end-to-end delay, and aggregate loss rate.

EXISTING SYSTEM

The key research issue in utilizing the available paths between multi homed communication terminals is to effectively distribute input traffic load for providing adequate QoS perceived by end users Indeed, inefficient load distribution can significantly degrade the traffic performance and network utilization, e.g., load imbalance, packet reordering, large end-to-end delay, etc. Therefore, many algorithms  have been proposed to optimize the delay or throughput performance. However, these network-level criteria cannot properly indicate the benefits of upper-layer applications. For instance, a live streaming video application cannot effectively leverage the throughput gains since its streaming rate is typically fixed or bounded by the encoding schemes. Furthermore, the increased throughput may lead to larger end-to-end delays, which in turn induce video quality degradation. Consequently, the load distribution of real-time traffic to achieve excellent QoS still remains problematic

DISADVANTAGES:

1. Load distribution is a key research issue in deploying the limited network resources available to support traffic transmissions
2. Due to the path diversity and unreliability in heterogeneous overlay networks, large end-to-end delay and consecutive packet losses can significantly degrade the traffic flow’s good put, whereas existing studies mainly focus on the delay or throughput performance

PROPOSED SYSTEM

In this paper to be propose a Good put- Aware Load distribution (GALTON) model that includes three phases: (1) path status estimation

to accurately sense the quality of each transport link, (2) flow rate assignment to optimize the aggregate good put of input traffic, and  (3) deadline-constrained packet interleaving to mitigate consecutive losses. We present a mathematical formulation for multipath load distribution and derive the solution based on utility theory. The performance of the proposed model is evaluated through semi-physical emulations in Exata  involving both real Internet traffic traces and H.264 video streaming. Experimental results show that GALTON outperforms existing traffic distribution models in terms of good put, video PSNR (Peak Signal-to-Noise Ratio), end-to-end delay, and aggregate loss rate.

ADVANTAGES

1. To optimize the good put performance of real-time traffic over multipath networks
2.  To optimize the delay or throughput performance.

 SYSTEM ARCHITECTURE:

SYSTEM CONFIGURATION

HARDWARE REQUIREMENTS:-

·                Processor          -   Pentium –III

·                Speed                -    1.1 Ghz

·                RAM                 -    256 MB(min)

·                Hard Disk         -   20 GB

·                Floppy Drive    -    1.44 MB

·                Key Board         -    Standard Windows Keyboard

·                Mouse               -    Two or Three Button Mouse

·                Monitor             -    SVGA

SOFTWARE REQUIREMENTS:-

·                Operating System       : Windows  7                                    

·                Front End                  : JSP AND SERVLET

·                Database                  : MYSQL

·                Tool                           :NETBEANS

 

REFERENCE:

Cheng, B. Shang, Y. Yuen, C. Wu, J “Good put-Aware Load Distribution for Real-time Traffic over Multipath Networks”, IEEE Transactions on Parallel and Distributed Systems, Volume 26 Issue 8, AUGUST  2014.