%0 Journal Article %1 shinichikuribayashi2018dpibased %A Shin-ichiKuribayashi, %D 2018 %E Meghanathan, Natarajan %J International Journal of Computer Networks & Communications (IJCNC) %K Deep congestion control, inspection, network, packet server %N 3 %P 1-12 %R 10.5121/ijcnc.2018.10301 %T DPI-Based Congestion Control Method for Servers and Network Lines %U http://airccse.org/journal/ijc2018.html %V 10 %X The use of Deep Packet Inspection (DPI) equipment in a network could simplify the conventional workload for system management and accelerate the control action. The authors proposed a congestion control method that uses DPI equipment installed in a network to estimate overload conditions of servers or network lines and, upon detecting an overload condition, resolves congestion by moving some virtual machines to other servers or rerouting some communication flows to other routes. However, since the previous paper was focused on confirming the effectiveness of using DPI technology, it assumed some restrictive control conditions. This paper proposes to enhance the existing DPI-based congestion control, in order to dynamically select an optimal solution for cases where there are multiple candidates available for: virtual machines to be moved, physical servers to which virtual machines are to be moved, communication flows to be diverted, and routes to which communication flows are to be diverted. This paper also considers server congestion for cases where computing power congestion and bandwidth congestion occur simultaneously in a server, and line congestion for cases where the maximum allowable network delay of each communication flow is taken into consideration. Finally, the feasibility of the proposed methods is demonstrated by an evaluation system with real DPI equipment.

@article{shinichikuribayashi2018dpibased, abstract = {The use of Deep Packet Inspection (DPI) equipment in a network could simplify the conventional workload for system management and accelerate the control action. The authors proposed a congestion control method that uses DPI equipment installed in a network to estimate overload conditions of servers or network lines and, upon detecting an overload condition, resolves congestion by moving some virtual machines to other servers or rerouting some communication flows to other routes. However, since the previous paper was focused on confirming the effectiveness of using DPI technology, it assumed some restrictive control conditions. This paper proposes to enhance the existing DPI-based congestion control, in order to dynamically select an optimal solution for cases where there are multiple candidates available for: virtual machines to be moved, physical servers to which virtual machines are to be moved, communication flows to be diverted, and routes to which communication flows are to be diverted. This paper also considers server congestion for cases where computing power congestion and bandwidth congestion occur simultaneously in a server, and line congestion for cases where the maximum allowable network delay of each communication flow is taken into consideration. Finally, the feasibility of the proposed methods is demonstrated by an evaluation system with real DPI equipment. }, added-at = {2018-06-03T00:29:57.000+0200}, author = {Shin-ichiKuribayashi}, biburl = {https://www.bibsonomy.org/bibtex/27ac4076c4d167a30bd3bf161adb236a1/laimbee}, doi = {10.5121/ijcnc.2018.10301}, editor = {Meghanathan, Natarajan}, interhash = {cf1ca5b763471ee448d64098709c6b93}, intrahash = {7ac4076c4d167a30bd3bf161adb236a1}, issn = {09749322}, journal = {International Journal of Computer Networks & Communications (IJCNC) }, keywords = {Deep congestion control, inspection, network, packet server}, language = {English}, month = may, number = 3, pages = {1-12}, timestamp = {2018-06-03T00:29:57.000+0200}, title = {DPI-Based Congestion Control Method for Servers and Network Lines}, url = {http://airccse.org/journal/ijc2018.html}, volume = 10, year = 2018 }