Load Balancing in Software Defined Networking: A Review

Kaur, Prabhjot; Chahal, Jasmeen Kaur; Bhandari, Abhinav

doi:10.51983/ajcst-2018.7.2.1859

Cited by 14 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, improving routing is an essential issue, not in SDN networks only but in all network types [13]. Also, the delay could result from workload imbalance; hence it is essential to balance the load to support scalability and availability and present the minimal application's response time in addition to increasing network efficiency [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A Survey on Load Balancing, Routing, and Congestion in SDN

Mousa¹,

Abdullah²

2022

ETJ

View full text Add to dashboard Cite

 Categorizeing existing approaches along with their features exposes promising techniques and future directions' suggestions.  This work surveys and categorizes existing load balance, routing, and congestion solutions.  The investigated metrics of previous works are statically analyzed so as to highlight the most important factors that should be evaluated.  Enhancing network performance and AIbased approaches are the highest investigated topics in the last 6 years.High traffic could result in load imbalance or network congestion, which degrades the network's performance and efficiency. Thus, it is crucial to adopt efficient routing and load balancing models to face these challenging issues.Additionally, when investigating a new approach, it is essential to consider the most important metrics to evaluate this potential approach precisely. This paper presents an intensive analysis of recently available SDN-based load balancing and routing techniques. Furthermore, the features and issues of each technique are stated. Moreover, the most important metrics that should be evaluated are statically analyzed. Also, a brief survey of available network congestion solutions is shown. Additionally, taxonomies of available load balancing, routing techniques, and congestion solutions are presented. Finally, we shed light on the trends, promising techniques, and future directions' suggestions that could be utilized further in research. Investigating SDN-based research published by wellknown academic publishers in the last six years shows that enhancing network performance and AI-based approaches are the highest investigated topics with 28% and 27%, respectively, of the total investigated issues. Other topics took lower percentages. As far as we know, this study is the first work that jointly surveys and categorizes all existing approaches in the field of decreasing delay and congestion in SDN-based networks

show abstract

Section: Introductionmentioning

confidence: 99%

A Survey on Load Balancing, Routing, and Congestion in SDN

Mousa¹,

Abdullah²

2022

ETJ

View full text Add to dashboard Cite

show abstract

“…A research article [27] discussed web server-based load balancing. In a research article [28], the authors compared different load-balancing techniques to determine the research gap for increasing QoS in telecom networks. In a research article [29], the authors combined a content delivery network (CDN) and SDN to enhance the quality of the network.…”

mentioning

confidence: 99%

Enhancing QoS of Telecom Networks through Server Load Management in Software-Defined Networking (SDN)

Mehmood,

Atiq,

Hussain

2023

Sensors

View full text Add to dashboard Cite

In the modern era, with the emergence of the Internet of Things (IoT), big data applications, cloud computing, and the ever-increasing demand for high-speed internet with the aid of upgraded telecom network resources, users now require virtualization of the network for smart handling of modern-day challenges to obtain better services (in terms of security, reliability, scalability, etc.). These requirements can be fulfilled by using software-defined networking (SDN). This research article emphasizes one of the major aspects of the practical implementation of SDN to enhance the QoS of a virtual network through the load management of network servers. In an SDN-based network, several servers are available to fulfill users’ hypertext transfer protocol (HTTP) requests to ensure dynamic routing under the influence of the SDN controller. However, if the number of requests is directed to a specific server, the controller is bound to follow the user-programmed instructions, and the load on that server is increased, which results in (a) an increase in end-to-end user delay, (b) a decrease in the data transfer rate, and (c) a decrease in the available bandwidth of the targeted server. All of the above-mentioned factors will result in the degradation of network QoS. With the implementation of the proposed algorithm, dynamic active sensing server load management (DASLM), on the SDN controller, the load on the server is shared based on QoS control parameters (throughput, response time, round trip time, etc.). The overall delay is reduced, and the bandwidth utilization along with throughput is also increased.

show abstract