Open Access   Article Go Back

Traffic Valuation using Routing Segmentation for Neural Network Approach

Kumar Parasuraman1 , A. Anbarasa Kumar2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 431-437, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.431437

Online published on Jan 31, 2019

Copyright © Kumar Parasuraman, A. Anbarasa Kumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Kumar Parasuraman, A. Anbarasa Kumar, “Traffic Valuation using Routing Segmentation for Neural Network Approach,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.431-437, 2019.

MLA Style Citation: Kumar Parasuraman, A. Anbarasa Kumar "Traffic Valuation using Routing Segmentation for Neural Network Approach." International Journal of Computer Sciences and Engineering 7.1 (2019): 431-437.

APA Style Citation: Kumar Parasuraman, A. Anbarasa Kumar, (2019). Traffic Valuation using Routing Segmentation for Neural Network Approach. International Journal of Computer Sciences and Engineering, 7(1), 431-437.

BibTex Style Citation:
@article{Parasuraman_2019,
author = {Kumar Parasuraman, A. Anbarasa Kumar},
title = {Traffic Valuation using Routing Segmentation for Neural Network Approach},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {431-437},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3523},
doi = {https://doi.org/10.26438/ijcse/v7i1.431437}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.431437}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3523
TI - Traffic Valuation using Routing Segmentation for Neural Network Approach
T2 - International Journal of Computer Sciences and Engineering
AU - Kumar Parasuraman, A. Anbarasa Kumar
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 431-437
IS - 1
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
439 337 downloads 179 downloads
  
  
           

Abstract

Network operators anticipate the offering of an increasing variety of cloud-based services with stringent Service Level Agreements. Technologies currently supporting IP networks however lack the edibility and scalability properties to realize such evolution. In this article, we present Segment Routing (SR), anew network architecture aimed at sling this gap, driven by use cases denied by network operators. SR implements the source routing and tunneling paradigms, letting nodes steer packets over paths using a sequence of instructions (segments) placed in the packet header. As such, SR allows the implementation of routing policies without entries at intermediate routers. This paper introduces the SR architecture, describes its related ongoing standardization efforts, and reviews the main use-cases envisioned by network operators. The criteria for protecting ad hoc networks encompass both physical entity security and data security (authentication, integrity, confidentiality, non-repudiation). Availability is another very significant concern. For example, a robust network should not lose connectivity when a small number of nodes leave the network or become unresponsive. Access control must also be considered to prevent unauthorized access.

Key-Words / Index Term

Segment Routing, Service Level Agreement, Authentication , Integrity, confidentiality, Non- Repudiation

References

[1] Ina Minei et al. MPLS-enabled applications: emerging developments and new technologies. John Wiley & Sons, 2010.
[2] R. Shakir. Spring Forward(ing) - Evolving IP/MPLS Networks with Segment Routing. In UKNOF27. 2014.
[3] Seisho Yasukawa, et al. An Analysis of Scaling Issues in MPLS-TECore Networks. IETF RFC 5439, 2009.
[4] C. Filsfils. Segment Routing: Update and Future Evolution. In MPLSSDN World 2014. 2014.
[5] IETF. Source Packet Routing in networking (spring) workinggroup.https://datatracker.ietf.org/wg/spring/charter/, 2013.
[6] Thomas D Nadeau et al. SDN: Software Defined Networks. O’ReillyMedia, Inc., 2013.
[7] Clarence Filsfils, et al. Segment Routing Architecture. draft-ietf-spring-segment-routing-01. IETF Draft, 2014.
[8] Clarence Filsfils, et al. Segment Routing with MPLS data plane. draft-ietf-spring-segment-routing-mpls-01. IETF Draft, 2015.
[9] Stefano Previdi, et al. IPv6 Segment Routing Header. draft-previdi-6man-segment-routing-header-07. IETF Draft, 2015.
[10] Peter Psenak, et al. OSPF Extensions for Segment Routing. draft-psenak-ospf-segment-routing-extensions-05. IETF Draft, 2014.
[11] C. Filsfils, N. K. Nainar, and Pignataro, “The Segment Routing Architecture,” in Proc. IEEE Globecom, 2015.
[12] A. Ghosh, S. Ha, E. Crabbe, and J. Rexford, “Scalable multi-class traffic management in data center backbone networks,” 2013.
[13] George Trimponias, Yan Xiao, Hong Xu, Xiaorui Wu, and Yanhui Geng “On Traffic Engineering with Segment Routing in SDN based WANs,” .
[14] Antonio Cianfrani ; Marco Listanti ; Marco Polverini “Incremental Deployment of Segment Routing Into an ISP Network: a Traffic Engineering Perspective”.
[15] Radu Carpa ; Olivier Glück ; Laurent Lefevre” Segment routing based traffic engineering for energy efficient backbone networks”