TY - JOUR
T1 - Minimize the delays in software defined network switch controller communication
AU - Iqbal, Saleem
AU - Qureshi, Kashif Naseer
AU - Shoaib, Faisal
AU - Ahmad, Awais
AU - Jeon, Gwanggil
N1 - Publisher Copyright:
© 2020 John Wiley & Sons Ltd.
PY - 2022/6/10
Y1 - 2022/6/10
N2 - Software Defined Networks (SDN) is now the leading framework for the existing network infrastructure. Increasing Internet traffic leads to attract SDN infrastructure in large networks like enterprise or data centers by using logical centralize control concept. This abstraction, flexibility, and agility enable the network managers to view the global picture of the network and flow the traffic in an efficient way to avoid congestion and traffic delay issues. However, besides the benefits, the internal mechanism of SDN has some serious challenges, which leads flow table overflow, congestions, controller and switch overloading, link failure and latency issues. This research focus on the delays produced during communication between control plane and data plane due to the parameters like rule formation, mismatches, buffer/queue constraints, flow entries, controller resource utilization or duplicate flow packets, and unordered packets. These delays become more critical in large networks especially in-case of reactive modes. Furthermore, the frequent rule composition and installation causes extra burden at the controller, this control communication needs prompt reply to forward the traffic in a stipulated time. This article presents the Efficient Resource Management Scheme (ERMS), which efficiently handle the inter-communication delay and minimize the network overheads. The experiment results depict the better performance of ERMS during the communication between controller and switch by efficient packet handling and flow rules management while minimizes the overheads on controller. The proposed solution enhances the performance of SDN networks by improving the quality of services parameters.
AB - Software Defined Networks (SDN) is now the leading framework for the existing network infrastructure. Increasing Internet traffic leads to attract SDN infrastructure in large networks like enterprise or data centers by using logical centralize control concept. This abstraction, flexibility, and agility enable the network managers to view the global picture of the network and flow the traffic in an efficient way to avoid congestion and traffic delay issues. However, besides the benefits, the internal mechanism of SDN has some serious challenges, which leads flow table overflow, congestions, controller and switch overloading, link failure and latency issues. This research focus on the delays produced during communication between control plane and data plane due to the parameters like rule formation, mismatches, buffer/queue constraints, flow entries, controller resource utilization or duplicate flow packets, and unordered packets. These delays become more critical in large networks especially in-case of reactive modes. Furthermore, the frequent rule composition and installation causes extra burden at the controller, this control communication needs prompt reply to forward the traffic in a stipulated time. This article presents the Efficient Resource Management Scheme (ERMS), which efficiently handle the inter-communication delay and minimize the network overheads. The experiment results depict the better performance of ERMS during the communication between controller and switch by efficient packet handling and flow rules management while minimizes the overheads on controller. The proposed solution enhances the performance of SDN networks by improving the quality of services parameters.
KW - Mininet
KW - Open vSwitch
KW - OpenFlow
KW - POX
KW - QoS
KW - SDN software-defined networking
UR - http://www.scopus.com/inward/record.url?scp=85088561526&partnerID=8YFLogxK
U2 - 10.1002/cpe.5940
DO - 10.1002/cpe.5940
M3 - Article
AN - SCOPUS:85088561526
SN - 1532-0626
VL - 34
JO - Concurrency and Computation: Practice and Experience
JF - Concurrency and Computation: Practice and Experience
IS - 13
M1 - e5940
ER -