Ant colony optimization for QoE-centric flow routing in software-defined networks

Dobrijević, Ognjen; Santl, Matija; Matijašević, Maja

doi:10.1109/cnsm.2015.7367371

Cited by 39 publications

(28 citation statements)

References 16 publications

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“…While deploying service instances within the ASP management plane, we can maximize the user SLO coverage, i.e., the α SLO percent of users with fully-satisfied SLO obtained directly from a corresponding QoE profile of a particular cloud service [9]. To optimally solve the ASP management plane problem, we use a well-known multi-commodity flow problem [21], where each commodity can represent a particular client-server pair.…”

Section: Asp Problem Spacementioning

confidence: 99%

“…Note that an application's feedback can be obtained from tools such as VDBench [23] in operational environments. This is how the 3Q model varies from common QoE profiles where this interplay is assumed to be static [9]. Finding the best openloop and closed-loop control systems for the 3Q model (e.g., using machine learning approaches) is the out of scope for this paper and we leave it as an open area for future work.…”

Section: B Asp Optimization Problem Within Data Planementioning

confidence: 99%

“…To solve (ii), we then devise a set of predictive models for user QoE and Quality of Application (QoA) estimation, which can be considered as common openloop (no user feedback required) and closed-loop (requires application feedback) control systems [8], respectively. Opposite to widely used static QoE profiles [9], these models capture dynamics in a Quality of Service (QoS), QoA and user QoE (3Q) interplay.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On QoE-Oriented Cloud Service Orchestration for Application Providers

Chemodanov

Calyam

Valluripally

et al. 2021

IEEE Trans. Serv. Comput.

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New virtualization technologies allow Infrastructure Providers (InPs) to lease their resources to Application Service Providers (ASPs) for highly scalable delivery of cloud services to end-users. However, existing literature lacks knowledge on Quality of Experience (QoE)-oriented cloud service orchestration algorithms that can guide ASPs on how to plan their budget to enhance satisfactory QoE delivery to end-users. In contrast to the InP's cloud service orchestration, the ASP's orchestration should not rely on expensive infrastructure control mechanisms such as Software-Defined Networking (SDN), or require apriori knowledge on the number of services to be instantiated and their anticipated placement location within InP's infrastructure. In this paper, we address this issue of delivering satisfactory user QoE by synergistically optimizing both ASP's management and data planes. The optimization within the ASP management plane first maximizes Service Level Objective (SLO) coverage of users when application services are being deployed, and are not yet operational. The optimization of the ASP data plane then enhances satisfactory user QoE delivery when applications services are operational with real user access. Our evaluation of QoE-oriented algorithms using realistic numerical simulations, real-world cloud testbed experiments with actual users and ASP case studies show notably improved performance over existing cloud service orchestration solutions.Index Terms-QoE-oriented cloud service orchestration, multiconstrained path-aware possibilistic C-mean clustering, 3Q interplay model, least cost-disruptive decision tree.

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Section: Asp Problem Spacementioning

confidence: 99%

Section: B Asp Optimization Problem Within Data Planementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On QoE-Oriented Cloud Service Orchestration for Application Providers

Chemodanov

Calyam

Valluripally

et al. 2021

IEEE Trans. Serv. Comput.

View full text Add to dashboard Cite

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“…Reference [228] described an SDN-based framework, which changes streaming servers and routing paths based on QoE feedback from the client. A similar approach using ant colony optimization to compute the best paths is presented in [229]. Reference [230] used an OpenFlow controller for prioritized delivery of HAS segments to avoid imminent stalling.…”

Section: Cross-layer and Collaborative Tra Ic Managementmentioning

confidence: 99%

Quality of experience and access network traffic management of HTTP adaptive video streaming

Seufert

Tran-Gia

2018

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium

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“…Monitoring is performed periodically by clients, which report application-level metrics such as buffer status, and by an SDN controller, which reports on network performance (e.g., jitter). A similar SDN-centric proposal that includes NCT with QoE-aware network paths is presented in [21], addressing different service categories (e.g., audio conversation and video streaming).…”

Section: App-net Mechanisms For Improving Qoementioning

confidence: 99%

Quantitative comparison of application–network interaction: a case study of adaptive video streaming

2017

Self Cite

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Managing quality of experience (QoE) is now widely accepted as a critical objective for multimedia applications and the supporting communication systems. In general, QoE management encompasses: (1) monitoring of the key influence factors and QoE indicators, and (2) deciding on the appropriate control actions as specified by the management goal. Many multimedia applications, e.g., video streaming and audio conferencing, are able to adjust their operational parameters so as to react to variations in the network performance. However, such an adaptation feature is mostly based on a local client view of the network conditions, which may lead to an unfair allocation of network resources among heterogeneous clients and, thus, an unfair QoE distribution. In order to tackle this issue, there is the call for a cooperation between the applications and the underlying network, which includes applicationnetwork interaction (App-Net) in terms of: (1) exchanging information on the monitored QoE indicators, and (2) coordinating the QoE control actions. Various App-Net mechanisms focusing on specific use cases and applications have been proposed to date. This paper gives an overview of App-Net mechanisms and proposes a generic App-Net model that provides the means to realize a coordinated QoE-centric management. Based on the App-Net model, we develop an evaluation methodology to compare three App-Net mechanisms for managing QoE of HTTP adaptive streaming (HAS) against a baseline HAS service. The aim of this quantitative comparison is to explore the trade-offs between QoE gains and the complexity of App-Net implementation, with respect to the number of monitoring and control messages, achieved video quality, and QoE fairness among heterogeneous clients. Our ultimate goal is to set up reproducible experiments that facilitate a holistic evaluation of different App-Net mechanisms.

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Ant colony optimization for QoE-centric flow routing in software-defined networks

Cited by 39 publications

References 16 publications

On QoE-Oriented Cloud Service Orchestration for Application Providers

On QoE-Oriented Cloud Service Orchestration for Application Providers

Quality of experience and access network traffic management of HTTP adaptive video streaming

Quantitative comparison of application–network interaction: a case study of adaptive video streaming

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