TRAQR: Trust aware End-to-End QoS routing in multi-domain SDN using Blockchain

Podili, Prashanth; Kataoka, Kotaro

doi:10.1016/j.jnca.2021.103055

Cited by 16 publications

(11 citation statements)

References 22 publications

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“…In Reference 15, a trust‐aware end‐to‐end QoS routing framework (TRAQR) was proposed for providing E2E QoS in multi‐domain SDNs. For storing and exchanging different kinds of trust information required for providing and confirming E2E QoS compliances with domains, TRAQR effectively exploited the non‐manipulation and decentralized features of Blockchain.…”

Section: Related Workmentioning

confidence: 99%

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QoS‐based routing scheme in software‐defined networks using fuzzy analytic hierarchy process

Rezaei

Ghaffari

2023

Concurrency and Computation

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Summary Recently, with the rapid development of the Internet of Things (IoT) and its real‐time applications, the network is required to guarantee the differential quality of service (QoS) requirements of the various data flows (telemedicine, video, and live streaming) of various IoT services. Software‐defined network (SDN) as emerging network technology separates the control logic from data planes of networks and is a promising technique to guarantee the QoS requirements of different services. In SDN, the controller has global visibility of the whole network devices such as switches and routers. Hence, controllers can dynamically optimize QoS requirements and resources of the network. On the other hand, providing a QoS‐aware routing scheme is an important challenge. Hence, in this paper by capitalizing on the fuzzy analytic hierarchy process (AHP), a new QoS‐aware routing method is proposed in SDNs. The proposed scheme considers the combination of different QoS criteria such as bandwidth, route length, reliability, and bit error rate for selecting an appropriate route between sender and receiver nodes. The simulation results indicated that the proposed method improves throughput and end‐to‐end delay. Comparison with other routing algorithms shows that the proposed method performs better load balancing under different network topologies.

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Section: Related Workmentioning

confidence: 99%

“…Hence, more focus and concentration are assigned to routing decisions and their control 14 . Developing an effective and QoS‐based routing algorithm in SDNs can notably enhance efficiency and reduce costs 15 . However, the provisioning of a QoS‐based routing scheme across SDNs is a crucial issue 16–18 .…”

Section: Introductionmentioning

confidence: 99%

QoS‐based routing scheme in software‐defined networks using fuzzy analytic hierarchy process

Rezaei

Ghaffari

2023

Concurrency and Computation

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“…For instance, in [97][98][99], the authors investigate techniques to mitigate HOFs. HO and HOF rates are mathematically evaluated in [100][101][102][103][104]. The performance of HHO in 5G HetNet is analyzed in terms of outage probability (OP) and HO rate in [105].…”

Section: Current Solutions For Ho and Mobility Management Challenges ...mentioning

confidence: 99%

A Survey on Handover and Mobility Management in 5G HetNets: Current State, Challenges, and Future Directions

Ullah

Roslee

Mitani

et al. 2023

Sensors

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Fifth-generation (5G) networks offer high-speed data transmission with low latency, increased base station volume, improved quality of service (QoS), and massive multiple-input–multiple-output (M-MIMO) channels compared to 4G long-term evolution (LTE) networks. However, the COVID-19 pandemic has disrupted the achievement of mobility and handover (HO) in 5G networks due to significant changes in intelligent devices and high-definition (HD) multimedia applications. Consequently, the current cellular network faces challenges in propagating high-capacity data with improved speed, QoS, latency, and efficient HO and mobility management. This comprehensive survey paper specifically focuses on HO and mobility management issues within 5G heterogeneous networks (HetNets). The paper thoroughly examines the existing literature and investigates key performance indicators (KPIs) and solutions for HO and mobility-related challenges while considering applied standards. Additionally, it evaluates the performance of current models in addressing HO and mobility management issues, taking into account factors such as energy efficiency, reliability, latency, and scalability. Finally, this paper identifies significant challenges associated with HO and mobility management in existing research models and provides detailed evaluations of their solutions along with recommendations for future research.

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“…Li et al [36] applied Deep learning based multi-domain network to the control plane to provide a learning model for ONOS-based path calculations. Podili and Kataoka [37] solved the problems of information imbalance and safety by proposing a method for each controller to share a blockchain that guarantees the same information, thereby overcoming the multi-domain characteristics that make it difficult to exchange information. Ali and Roh [41] proposed an SDN management architecture powered by Artificial Intelligence (AI) to support end-to-end QoS provisioning for flows through multiple heterogeneous networks or domains.…”

Section: Multi-domain Sdn Qosmentioning

confidence: 99%

“…To support end-to-end QoS for services passing through multiple domains, complex traffic engineering is required because the quality level that can be provided according to the resource conditions in these domains should be comprehensively considered [23]. Numerous studies have been conducted to support end-to-end QoS in multi-domain SDN networks [24][25][26][27][28][29][30][31][32][33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

QoS Support Path Selection for Inter-Domain Flows Using Effective Delay and Directed Acyclic Graph in Multi-Domain SDN

Lee

Roh

2022

Electronics

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Currently, network applications, such as audio, video, and augmented reality, have different stringent service requirements. They require service provision through end-to-end connections via other networks with different operating environments or service conditions. Therefore, network operators require information on their own and other networks to provide end-to-end services traversing several networks while guaranteeing their quality of service (QoS) requirements. This study proposes an inter-domain flow decision method that satisfies QoS requirements using a directed acyclic graph (DAG) in multi-domain and hierarchical software defined networking (SDN) networks. There are multiple local networks with SDN controllers that are connected to the global SDN controller. The flow decision in the proposed method is based on the effective bandwidth theory of the martingale process. The effectiveness of the proposed method is demonstrated by comparing it with existing SDN-based path selection methods using the Riverbed Modeler (older, OPNET) and OpenDaylight SDN controllers.

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TRAQR: Trust aware End-to-End QoS routing in multi-domain SDN using Blockchain

Cited by 16 publications

References 22 publications

QoS‐based routing scheme in software‐defined networks using fuzzy analytic hierarchy process

QoS‐based routing scheme in software‐defined networks using fuzzy analytic hierarchy process

A Survey on Handover and Mobility Management in 5G HetNets: Current State, Challenges, and Future Directions

QoS Support Path Selection for Inter-Domain Flows Using Effective Delay and Directed Acyclic Graph in Multi-Domain SDN

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