On the effectiveness of using network device state information for network path selection

Janaka Wijekoon, Divya Amunugama, Hiroaki Nishi

Research output: Contribution to journalConference article

Abstract

Network path selection defines the methodology of selecting the best routes and forwarding traffic in a network service provider (NSP). NSPs use routing protocols that are optimized for a single arbitrary metric (i.e., administrative weight), which is commonly calculated according to the link state information, to select network paths. Despite the advantages, link-state protocols lack the ability to select network paths by considering the states of network devices such as the effect of routers for network path selection. Apparently, studying possible techniques for selecting network paths based on the state information of network devices, e.g., routers, has become obligatory. This paper studies the effectiveness of using network device state information for network path selection by presenting the Extended Server Link Router state Routing Protocol (ESLR). ESLR uses the state information of network devices as parameters to calculate a composite route metric; ESLR selects the network paths based on the cumulative propagation delay. By simulating ESLR using an ISP topology, the proposed protocol is examined for the effectiveness of using network device state information for network path selection.

Original languageEnglish
Pages (from-to)134-141
Number of pages8
JournalProcedia Computer Science
Volume130
DOIs
Publication statusPublished - 2018 Jan 1
Event9th International Conference on Ambient Systems, Networks and Technologies, ANT 2018 - Porto, Indonesia
Duration: 2018 May 82018 May 11

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Routers
Routing protocols
Network protocols
Servers
Topology
Composite materials

Keywords

  • Loop-free Hybrid Routing Protocol
  • Routing Utilization
  • Traffic Engineering

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

On the effectiveness of using network device state information for network path selection. / Wijekoon, Janaka; Amunugama, Divya; Nishi, Hiroaki.

In: Procedia Computer Science, Vol. 130, 01.01.2018, p. 134-141.

Research output: Contribution to journalConference article

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