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• W4385695908 abstract "Network monitoring allows network administrators to facilitate network activities and to resolve issues in a timely fashion. Monitoring techniques in software-defined networks are either (i) active, where probing packets are sent periodically, or (ii) passive, where traffic statistics are collected from the network forwarding elements. The centralized nature of software-defined networking implies the implementation of monitoring techniques imposes additional overhead on the network controller. We propose Graph Modeling for OpenFlow Switch Monitoring (GMSM), which is a lightweight monitoring technique. GMSM constructs a flow-graph overview using two types of asynchronous OpenFlow messages: packet-in and flow-removed, which improve monitoring and decision making. It classifies new flows based on the class of service. Experimental findings suggest that using GMSM leads to a decrease in network overhead resulting from the communication between the controller and the switches, with a reduction of 5.7% and 6.7% compared to state-of-the-art approaches. GMSM reduces the controller’s CPU utilization by more than 2% compared to other monitoring methods. Overhead reduction comes with a slight reduction of approximately 0.17 units in the estimation accuracy of links utilization because GMSM allows the user to monitor the network subject to a selected class of service, as opposed to having an exact view of the network utilization." @default.
• W4385695908 created "2023-08-10" @default.
• W4385695908 creator A5005680070 @default.
• W4385695908 creator A5022040369 @default.
• W4385695908 date "2023-01-01" @default.
• W4385695908 modified "2023-10-17" @default.
• W4385695908 title "Graph Modeling for OpenFlow Switch Monitoring" @default.
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• W4385695908 doi "https://doi.org/10.1109/access.2023.3303847" @default.
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