Optimal QoS-aware network reconfiguration in software defined cloud data centers
Mohammad Mahdi Tajiki, Behzad Akbari, Nader Mokari

TL;DR
This paper presents an optimized SDN-based network reconfiguration method for cloud data centers that minimizes flow rerouting, reduces overhead, and improves QoS, packet loss, and delay performance.
Contribution
It introduces a mathematical optimization model and a forwarding table compression technique for efficient, low-overhead network reconfiguration in SDN cloud data centers.
Findings
Significant reduction in reconfiguration overhead.
Improved QoS adherence during network changes.
Enhanced network stability and performance metrics.
Abstract
Software-defined networking (SDN) as a new paradigm for networking provides efficient resource reallocation platform in emerging cloud data center networks. The dynamic nature of cloud data center network's traffic, as well as the existence of big flows make it necessary to periodically reprogram the network through the SDN controller. Therefore, it is critical for network researchers to minimize the side-effects of network reconfiguration. In this way, the most challenging issue is the number of rerouted flows that affect the network stability and QoS parameters. As a result, dynamic reconfiguration of the network with minimum overhead (i.e. minimum flow rerouting) is an interesting problem in SDN-based resource reallocation. In this paper, we mathematically formulated the resource reallocation problem as an optimization problem with minimum network reconfiguration overhead subject to…
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