SCOR: Software-defined Constrained Optimal Routing Platform for SDN

Layeghy, Siamak; Pakzad, Farzaneh; Portmann, Marius

doi:10.14264/uql.2018.820

Cited by 5 publications

(5 citation statements)

References 34 publications

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“…The results indicate better delay performance in largescale networks when compared to SDN. One of the most common proposed method is the flow routing framework [21]- [30], where the flows' routes are adjusted dynamically according to the network state. Despite the available traffic engineering techniques like packet queuing, this solution uses the key features of SDN such as the global network view and the simplicity of network management.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An Innovative Reinforcement Learning-Based Framework for Quality of Service Provisioning Over Multimedia-Based SDN Environments

Al-Jawad

Comşa

Shah

et al. 2021

IEEE Trans. on Broadcast.

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Section: Related Workmentioning

confidence: 99%

“…Other related works like [31], [32] proposed a framework for QoS provisioning based on per-flow routing. Similarly the works in [27]- [30], [33]- [37] adopted the per-flow routing.…”

Section: Related Workmentioning

confidence: 99%

An Innovative Reinforcement Learning-Based Framework for Quality of Service Provisioning Over Multimedia-Based SDN Environments

Al-Jawad

Comşa

Shah

et al. 2021

IEEE Trans. on Broadcast.

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“…• Another thing needs to be considered, is that most of the works focus on a specific application and optimize routing. The authors in [233]- [235] generalized the optimization and provide an API for solving constrained programming problems. They proposed a platform for facilitating optimization for the user, by making interface base on constraint programming.…”

Section: E: Resource Sharing (Auction/pricing)mentioning

confidence: 99%

A Survey on Autonomic Provisioning and Management of QoS in SDN Networks

BinSahaq

Sheltami

2019

IEEE Access

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In today's Internet, killer network services and applications, such as video and audio streaming, network storage, and online video games, are pushing the network infrastructure resources to the edge. By design and for the most part, the Internet is the best offer delivery ecosystem with little or no endto-end quality-of-service (QoS) guarantees. Even, frameworks, such as IntServ and DiffServ that were designed and implemented to provide QoS guarantees, still fail to solve this problem at a wide scale. Software-defined networking (SDN) is a fast emerging networking paradigm that promises to provide endto-end QoS guaranteeing by offering greater network flexibility, abstraction, control, and programmability to network resources. In this paper, we review, survey, and discuss the current state of the art on QoS provisioning in the area of SDN, with respect to applying the concept of autonomic computing (AC) to automatically support, provision, monitor, and maintain QoS requirements. This paper includes in-depth classification, taxonomy, and comparative analysis for the autonomic-based QoS provisioning in accordance with the famous influential and widely adopted the monitor-analyze-plan-execute-knowledge (MAPE-K) IBM architectural model for autonomic computing.

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“…Stochastic optimization techniques have been used for many applications in resilience [47], [48] and the underlying methodologies are a key part of this research. Prior work in configuration management with constraint programming [49], [50] focused on connectivity or security. We are not aware of any work that balances these two objectives in a meaningful way.…”

Section: Background and Related Workmentioning

confidence: 99%

DOCSDN: Dynamic and Optimal Configuration of Software-Defined Networks

Curry

Callahan

Fuller

et al. 2019

Information Security and Privacy

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Networks are designed with functionality, security, performance, and cost in mind. Tools exist to check or optimize individual properties of a network. These properties may conflict, so it is not always possible to run these tools in series to find a configuration that meets all requirements. This leads to network administrators manually searching for a configuration.This need not be the case. In this paper, we introduce a layered framework for optimizing network configuration for functional and security requirements. Our framework is able to output configurations that meet reachability, bandwidth, and risk requirements. Each layer of our framework optimizes over a single property. A lower layer can constrain the search problem of a higher layer allowing the framework to converge on a joint solution.Our approach has the most promise for software-defined networks which can easily reconfigure their logical configuration. Our approach is validated with experiments over the fat tree topology, which is commonly used in data center networks. Search terminates in between 1-5 minutes in experiments. Thus, our solution can propose new configurations for short term events such as defending against a focused network attack.

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SCOR: Software-defined Constrained Optimal Routing Platform for SDN

Cited by 5 publications

References 34 publications

An Innovative Reinforcement Learning-Based Framework for Quality of Service Provisioning Over Multimedia-Based SDN Environments

An Innovative Reinforcement Learning-Based Framework for Quality of Service Provisioning Over Multimedia-Based SDN Environments

A Survey on Autonomic Provisioning and Management of QoS in SDN Networks

DOCSDN: Dynamic and Optimal Configuration of Software-Defined Networks

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