International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 186 - Issue 17 |
Published: April 2024 |
Authors: Deepak Malik, Bijendra Singh |
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Deepak Malik, Bijendra Singh . OSPF Metric Modification and Convergence Analysis during Redistribution with EIGRP. International Journal of Computer Applications. 186, 17 (April 2024), 41-46. DOI=10.5120/ijca2024923562
@article{ 10.5120/ijca2024923562, author = { Deepak Malik,Bijendra Singh }, title = { OSPF Metric Modification and Convergence Analysis during Redistribution with EIGRP }, journal = { International Journal of Computer Applications }, year = { 2024 }, volume = { 186 }, number = { 17 }, pages = { 41-46 }, doi = { 10.5120/ijca2024923562 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2024 %A Deepak Malik %A Bijendra Singh %T OSPF Metric Modification and Convergence Analysis during Redistribution with EIGRP%T %J International Journal of Computer Applications %V 186 %N 17 %P 41-46 %R 10.5120/ijca2024923562 %I Foundation of Computer Science (FCS), NY, USA
In computer network world OSPF is widely used protocol to provide connectivity within the large organization. The role of any routing protocol is to calculate the best path towards the destination IP address. The OSPF being a multi-vender friendly protocol becomes the first choice to be used within the organization network to provide internal network connectivity. Apart from OSPF there are other routing protocols are present like Routing Information Protocol (RIP), Enhanced Interior Gateway Routing Protocol (EIGRP), IS-IS, etc. which are also used for internal network connectivity. This study aims to discuss the OSPF metric change i.e. metric (cost) convergence and modification when used with other routing protocol like EIGRP. Optimized selection of OSPF metric (cost) parameters is the aim so as to achieve a better path selection within the network is the primary goal. With OSPF and EIGRP multiple combinations would be tested so as to find an optimum solution for metric calculation within a large user network.