Abstract
Due to the various network requirements of applications, quality of service (QoS)-aware routing plays an important role in the networks. Recently proposed resource allocation algorithms focus on the current traffic matrix, which is not applicable for dynamic networks. In this paper, we exploit an estimation of flow matrix that gives our scheme the ability to sufficiently reduce the total packet loss and simultaneously raise the network throughput. In this way, we mathematically formulate the QoS-aware resource reallocation in software-defined networking (SDN) networks based on the traffic prediction. To solve this optimization problem, two schemes are proposed: (i) exact solution; and (ii) fast suboptimal one. The proposed schemes are compared with the accuracy perspective. Moreover, the impact of prediction on resource reallocation is discussed. In this regard, it is shown that, compared with the conventional scheme, the proposed scheme decreases the packet loss and increases the throughput significantly.
Highlights
In the last several years, computer networks have envisaged an evolution by the diffusion of smartphones, over the top (OTT) services, and cloud computing
We introduce a dynamic and efficient QRA scheme called QRTP
A quality of service (QoS)-aware resource reallocation algorithm was introduced that exploits software defined networking advantages to proactively prevent congestion by using traffic forecasting techniques
Summary
In the last several years, computer networks have envisaged an evolution by the diffusion of smartphones, over the top (OTT) services, and cloud computing. This enforces network practitioners and researchers to a basic transformation from traditional networks to programmable networks. The main idea of SDN is the separation of network intelligence (control plane) from the forwarding device (data plane). The network intelligence is logically centralized (called controller), which enables the programmers to exploit global knowledge of the controller. It makes SDN proper for emerging technology like 5G, cloud data centers, and Internet exchange points (IXPs). One of the critical issues of SDN is resource reallocation in a way that meets users’
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