Researcher:
Eğilmez, Hilmi Enes

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Master Student

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Hilmi Enes

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Eğilmez

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Eğilmez, Hilmi Enes

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2011 - 20134

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Researcher Of Publications: search.filters.isAuthorOfPublication.82abb1f4-8cb6-43f3-832e-22a41b798048

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    Openqos: an openflow controller design for multimedia delivery with end-to-end quality of service over software-defined networks
    (IEEE, 2012) Department of Electrical and Electronics Engineering; N/A; N/A; N/A; Tekalp, Ahmet Murat; Eğilmez, Hilmi Enes; Dane, Said Tahsin; Bağcı, Kadir Tolga; Faculty Member; Master Student; Master Student; PhD Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; 26207; N/A; N/A; N/A
    OpenFlow is a Software Defined Networking (SDN) paradigm that decouples control and data forwarding layers of routing. In this paper, we propose OpenQoS, which is a novel OpenFlow controller design for multimedia delivery with end-to-end Quality of Service (QoS) support. Our approach is based on QoS routing where the routes of multimedia traffic are optimized dynamically to fulfill the required QoS. We measure performance of OpenQoS over a real test network and compare it with the performance of the current state-of-the-art, HTTP-based multi-bitrate adaptive streaming. Our experimental results show that OpenQoS can guarantee seamless video delivery with little or no video artifacts experienced by the end-users. Moreover, unlike current QoS architectures, in OpenQoS the guaranteed service is handled without having adverse effects on other types of traffic in the network.
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    Scalable video streaming over openflow networks: an optimization framework for QOS routing
    (IEEE, 2011) Civanlar, Seyhan; Department of Electrical and Electronics Engineering; N/A; N/A; Tekalp, Ahmet Murat; Eğilmez, Hilmi Enes; Görkemli, Burak; Faculty Member; Master Student; PhD Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; 26207; N/A; N/A
    OpenFlow is a clean-slate Future Internet architecture that decouples control and forwarding layers of routing, which has recently started being deployed throughout the world for research purposes. This paper presents an optimization framework for the OpenFlow controller in order to provide QoS support for scalable video streaming over an OpenFlow network. We pose and solve two optimization problems, where we route the base layer of SVC encoded video as a lossless-QoS flow, while the enhancement layers can be routed either as a lossy-QoS flow or as a best effort flow, respectively. The proposed approach differs from current QoS architectures since we provide dynamic rerouting capability possibly using non-shortest paths for lossless and lossy QoS flows. We show that dynamic rerouting of QoS flows achieves significant improvement on the video's overall PSNR under network congestion.
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    A distributed qos routing architecture for scalable video streaming over multi-domain openflow networks
    (IEEE, 2012) Civanlar, Seyhan; Department of Electrical and Electronics Engineering; N/A; Tekalp, Ahmet Murat; Eğilmez, Hilmi Enes; Faculty Member; Master Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; 26207; N/A
    This paper proposes a new Quality of Service (QoS) optimized routing architecture for video streaming over large-scale multi-domain OpenFlow networks managed by a distributed control plane, where each controller performs optimal routing within its domain and shares summarized intra-domain routing data with other controllers to reduce problem dimensionality for calculating inter-domain routing. We apply the proposed architecture to streaming of scalable (layered) videos, where the base layer routes are dynamically optimized to fulfill a required QoS level, while enhancement layers follow traditional shortest path. We show that the proposed solution approaches the expensive non-scalable globally optimal solution (single controller for the whole network) in terms of received video quality under various congestion scenarios.
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    An optimization framework for QoS-enabled adaptive video streaming over openflow networks
    (Institute of Electrical and Electronics Engineers (IEEE), 2013) Civanlar, Seyhan; N/A; Department of Electrical and Electronics Engineering; Eğilmez, Hilmi Enes; Tekalp, Ahmet Murat; Master Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 26207
    OpenFlow is a programmable network protocol and associated hardware designed to effectively manage and direct traffic by decoupling control and forwarding layers of routing. This paper presents an analytical framework for optimization of forwarding decisions at the control layer to enable dynamic Quality of Service (QoS) over OpenFlow networks and discusses application of this framework to QoS-enabled streaming of scalable encoded videos with two QoS levels. We pose and solve optimization of dynamic QoS routing as a constrained shortest path problem, where we treat the base layer of scalable encoded video as a level-1 QoS flow, while the enhancement layers can be treated as level-2 QoS or best-effort flows. We provide experimental results which show that the proposed dynamic QoS framework achieves significant improvement in overall quality of streaming of scalable encoded videos under various coding configurations and network congestion scenarios.