An SDN-Enabled Framework for a Load-Balanced and QoS-Aware Internet of Underwater Things

Shi, Yaliang; Yang, Qiuling; Huang, Xiwen; Li, Deshun; Huang, Xiangdang

doi:10.1109/jiot.2022.3231329

Cited by 15 publications

(3 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most current TE applications are intended for software-defined networking [3,5,[7][8][9][10][11][12][13][14][15][16]18,21,23,[26][27][28]. While a significant number of solutions found their field of use in wireless networks [4,6,19,20,23], Internet of Things technology [18,24,28], smart cities [8,18,23], edge, and fog computing [8,19,28].…”

Section: Related Research Analysismentioning

confidence: 99%

See 1 more Smart Citation

Solving Load Balancing Problems in Routing and Limiting Traffic at the Network Edge

Barkalov,

Lemeshko,

Yeremenko

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

This study focuses on creating and investigating models that optimize load balancing in communication networks by managing routing and traffic limitations. The purpose is to use these models to optimize the network’s routing and traffic limitations while ensuring predictable quality of service levels, and adhering to traffic engineering requirements for routing and limiting traffic at the network edge. In order to achieve this aim, a mathematical optimization model was developed based on a chosen optimality criterion. Two modifications of the traffic engineering routing were created, including the linear limitation model (TER-LLM) and traffic engineering limitation (TER-TEL), each considering the main features of packet flow: intensity and priority. The proposed solutions were compared by analyzing various data inputs, including the ratio of flow parameters and the intensity with which packets will be limited at the border router. The study presents recommendations on the optimal use of the proposed solutions based on their respective features and advantages.

show abstract

Section: Related Research Analysismentioning

confidence: 99%

“…Their proposed findings apply to load balancing in software-defined networks (SDNs), cloud environments, mobile networks, queue management on routers and switches, etc. Another group of TE solutions involves developments based on using artificial intelligence to make network decisions [23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Solving Load Balancing Problems in Routing and Limiting Traffic at the Network Edge

Barkalov,

Lemeshko,

Yeremenko

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Additionally, in-band control allows a wide range of new applications, particularly for constrained and hybrid SDN environments [11,12], in which out-of-band control is complex (or even impossible) to deploy. Some of the use cases leveraging in-band control include 5G [13] and Non-Terrestrial Networks (NTNs) [14], Internet of Things (IoT) (e.g., underwater networks [15], energy saving [16] or resource-constrained environments [17]), emergency and disaster situations [18,19], and enhanced network security [20].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey of In-Band Control in SDN: Challenges and Opportunities

et al. 2023

View full text Add to dashboard Cite

Software-Defined Networking (SDN) is a thriving networking architecture that has gained popularity in recent years, particularly as an enabling technology to foster paradigms like edge computing. SDN separates the control and data planes, which are later on synchronised via a control protocol such as OpenFlow. In-band control is a type of SDN control plane deployment in which the control and data planes share the same physical network. It poses several challenges, such as security vulnerabilities, network congestion, or data loss. Nevertheless, despite these challenges, in-band control also presents significant opportunities, including improved network flexibility and programmability, reduced costs, and increased reliability. Benefiting from the previous advantages, diverse in-band control designs exist in the literature, with the objective of improving the operation of SDN networks. This paper surveys the different approaches that have been proposed so far towards the advance in in-band SDN control, based on four main categories: automatic routing, fast failure recovery, network bootstrapping, and distributed control. Across these categories, detailed summary tables and comparisons are presented, followed by a discussion on current trends a challenges in the field. Our conclusion is that the use of in-band control in SDN networks is expected to drive innovation and growth in the networking industry, but efforts for holistic and full-fledged proposals are still needed.

show abstract

ICLB: intelligent controllers load balancing for software-defined based optical data center networks

Geresu,

Gu,

Fadhel

et al. 2024

J Supercomput

View full text Add to dashboard Cite

An SDN-Enabled Framework for a Load-Balanced and QoS-Aware Internet of Underwater Things

Cited by 15 publications

References 34 publications

Solving Load Balancing Problems in Routing and Limiting Traffic at the Network Edge

Solving Load Balancing Problems in Routing and Limiting Traffic at the Network Edge

A Comprehensive Survey of In-Band Control in SDN: Challenges and Opportunities

ICLB: intelligent controllers load balancing for software-defined based optical data center networks

Contact Info

Product

Resources

About