Abstract
Over the past several years, the traditional approaches of managing and utilizing hybrid Wide Area Network (WAN) connections, between sites across geographical regions, have posed many challenges to enterprises. Software-Defined Wide Area Network (SD-WAN) has emerged as a new paradigm that can overcome the traditional WAN challenges like the lack of visibility for WAN bandwidth utilization and the inefficient usage of expensive WAN resources. The flexibility and agility brought to WAN by applying the SD-WAN paradigm helped to improve the efficiency of bandwidth utilization and to address the surge of bandwidth demands. The SD-WAN capabilities become essential for meeting the heavy inter-data center's traffic exchange required for business continuity and disaster recovery operations. In this paper, a data backup approach is introduced using SD-WAN that makes the network centrally programmable. This will leverage the ability to make fine-grained traffic engineering for different data flows over WAN to optimize the bandwidth utilization of the expensive WAN resources by balancing the traffic load across network links between data centers and to minimize the time required to transfer backup data to disaster recovery sites. The proposed approach proved its efficiency according to the bandwidth utilization if it is compared to the other related works.
Highlights
The Wide Area Network (WAN) is essential nowadays for large enterprises and businesses
While in the proposed approach, using traffic engineering based on SDWAN capabilities to balance the traffic load across network links, the time required to complete data transfer is reduced to 293 seconds
The results show that the aim of this research has been achieved by deploying fine-grained traffic engineering using SoftwareDefined Wide Area Network (SD-WAN) to balance the traffic load across all available WAN links between data centers in a way that improves the bandwidth utilization and minimizes the time required for transferring data
Summary
The Wide Area Network (WAN) is essential nowadays for large enterprises and businesses. Despite the improvements in the bandwidth and speed of WAN networks and internet services, they are still congested with high traffic loads that cause data loss and jitters [3] which impact the performance and quality of the provided services. During the COVID-19 pandemic, network traffic spikes have increased obviously and start to impact the services provided by different internet and cloud companies such as Amazon, YouTube, and Netflix [4]. To address these challenges and the surge in bandwidth demand, enterprises start to use technological innovations such as Software Defined Networks
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