Open AccessEffective Dual Decomposition Methods in Network Traffic Management with Multipaths
Author(s) -
S. Thirunavukkarasu,
K. P. Kaliyamurthie
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1343.10812s19
Subject(s) - computer network , computer science , decomposition , network management , network traffic control , the internet , internet protocol , protocol (science) , routing protocol , dual (grammatical number) , distributed computing , internet traffic , network congestion , routing (electronic design automation) , internet traffic engineering , network packet , medicine , art , ecology , alternative medicine , literature , pathology , world wide web , biology
In today’s Internet, Traffic management has met the unhealthy operation. To get the healthy operation of an internet, they have developed several traffic management tools. Such tools are together with congestion control at end hosts, routers get the routing protocol and network operators using traffic engineering. In this paper, we have used current innovations in optimization theory to perform a start to end reformat of traffic engineering. The objective function has been proposed based on goals of end users and network operators. Hence, we combined four distributed algorithms by using all known optimization decomposition methods, where source acclimate their sending rates through multipaths, according to different classes of feedback from the links. Finally, we applied TRUMP, recent traffic management protocol, which is acclimate and strong. With the help of above protocol, we can maximize the network utilities.