International Journal of Multidisciplinary Research and Modern Education
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Effect of Internet Path Selection in Congested Network for High Level Data Transmission
J. Britto Dennis*, C. Namasivayam** & A. Dinesh Kumar***
* Assistant Professor, Department of Information Technology, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India.
** PG Scholar, Department of Networking Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India.
*** Assistant Professor, Department of Mathematics, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India.
Abstract:
This Paper presents the Effect of internet path selection in congested Network. And increase the Delivery Ratio of High-Priority Data. To provide more importance to the high priority data by degrading the performance of low priority data. Internet Path selection work is a best-effort packet delivery model. Address differentiated data delivery in the presence of congestion in wireless networks. Congestion-Aware Adaptive Routing (CAR) schemes only use channel-based information to identify the congestion status. Propose a class of algorithms that enforce differentiated routing based on the congested areas of a data priority network. We propose Path congestion- aware adaptive routing (PCAR). This routing method based on following techniques. 1) Path-congestion-aware selection strategy that concurrently considers switch congestion and channel congestion 2) Increase the switching device buffer size. 3) Assign the high level priority to important data .4) Choose the alternate virtual path. The proposed result PCAR scheme can achieve a high saturation throughput with a development of 20.4%–50.7% compares to existing routing schemes. The PCAR method also includes a VLSI architecture, it has higher area efficiency with an development of compared with the existing router designs. We deployed SIFR on Planet Lab nodes and compared the performance of SIFR to the default Internet routing. SIFR outperforms IP-path selection by providing higher on-screen perceptual video quality.
Index Terms: Adaptive Routing, Congestion Prediction, Video QoE & Path Selection
1. Introduction:
Multimedia streaming over IP networks is poised to be the dominant Internet traffic in the coming decade. Industry forecasts that the sum of all forms of video [TV, video on demand, Internet, and peer-to-peer (P2P)] will be approximately 86% of global consumer traffic by 2016. As multimedia service providers deploy services on top of packet-switched networks that compete with cable-based content providers, there is an ever-growing need to provide superior quality of experience (QoE) .There are various reasons to expect current Internet path selection policies to be suboptimal in assuring superior QoE. Current wide area routing protocols choose paths solely based. On hop count and autonomous system (AS) connectivity and are, as such, not optimized for QoE. For reasons of scalability, connectivity information between AS is further filtered during routing advertisements. As a result, a video source has limited routing options when sending its packets, especially during times of an outage. However, the Internet itself comprises billions of interconnections, and the probability that there are alternate paths that can perform better is high. An empirical understanding of QoE degradations along an Internet path, and simple alternative path selection strategies that go beyond default IP-routing, would help us overcome some of these limitations.
This paper presents a large-scale measurement-based study on the effects of Internet path selection on video-QoE and investigates ways to improve it using application-specific policies and redundant Internet paths. We seek answers to the following questions: 1) what degrades video QoE in the Internet, and where in the path do these outages frequent? 2).
References:
- Senthil Kumar P, Abirami R & Dinesh Kumar A, “Fuzzy Model for the Effect of rhIL6 Infusion on Growth Hormone”, International Conference on Advances in Applied Probability, Graph Theory and Fuzzy Mathematics, Page Number 246-252, 2014.
- Senthil Kumar P, Dinesh Kumar A & Vasuki M, “Stochastic Model to Find the Effect of Gallbladder Contraction Result Using Uniform Distribution”, Arya Bhatta Journal of Mathematics and Informatics, Volume 6, Issue 2, Page Number 323-328, 2014.