International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
INTEGRATING MULTIMEDIA SERVICES OVER SOFTWARE DEFINED NETWORKING R.Thenmozhi1, T.Preethi2, S.Sadhana3 , V.Shruthi4, B.Yuvarani5 1Assistant [2][3][4][5]UG
Professor,Department of Information Technology, Valliammai Engineering, Tamil Nadu, India Students, Department of Information Technology, Valliammai Engineering College, Tamil Nadu ,India.
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Abstract - This paper proposes a methodology, which aims
together with Open ONF is committed for promoting and adopting OpenFlow specification.
to improve the reliability of multimedia streaming while reducing the utilization of server resources. Software Defined Networking (SDN) posses a centralized SDN Controller enabled with OpenFlow protocol that monitors every node in the network. It optimizes video delivery using an algorithm (Scalable Video Coding) that sends layers of different bitrates via discrete paths. The optimal path is determined using LARAC algorithm. The OpenQoS can guarantee seamless video delivery with little or no video artifacts experienced by the end-users. HTML5 browser display embeds videos into the server. This allows everyone to access the media files irrespective of their platform, device, or browser. A powerful Amazon Web Server (AWS) and Adobe Media Server are deployed. Also guarantees the viewer with an alternative version of full functionality in case the less important segments are lost or discarded. It implements a resilient method for packet loss by utilizing independent paths. This transmits the multimedia files from one system to another connected over a distributed network.
This realization of OpenFlow eliminate the drawbacks of severity of static protocols, open the possibility of fast Improvement and led research community to extend new paradigms. This paper presents an analysis of five policies such as route management, route discovery, traffic analysis, call admission and topology management. The fast failure recovery mechanism is implemented in OpenFlow which will competent of recovering from connection failure using different path. The control plane in SDN not only performs forwarding of packets but also link alteration at a data level infringement the difficulty of layering. So this leads to remuneration in Optimizing network configuration and enhancing network performance. It also provides network programmability and capability to identify isolated virtual networks by means of control plane.
2. RELATED WORK This section we discuss various proposed architectures, frameworks and routing algorithms based on SDN. These target various network aspects such as virtualization, scalability, Quality of service network management, programmability and service assurance.
Key Words: Software Defined Networking (SDN), Quality of Service (QoS), OpenFlow, Open QoS, Scalable Video Coding (SVC), Lagrange Relaxation based Aggregate Cost
Software Defined Networking (SDN) is a networking paradigm where the control and the data plane are decoupled and is logically centralized and programmable through interfaces.
(LARAC), Amazon Web Service (AWS), Streaming.
1.INTRODUCTION
QoS routing technique to optimize multimedia traffic dynamically based on the user needs is done by the implementation of LARAC algorithm.
The networking elements have been turn into a significant element in almost all human activity. So, there is increase in the number of devices as well as amount of traffic in network is exponentially growing. The new inventions need to change the inflexibility of traditional network. The key technique of SDN is OpenFlow, which provides additional configuration options in the data plane. The principle of communication between data plane and control plane is allowed by the OpenFlow design and also permits the complete network to be controlled through Application Programming Interface (API).The networking foundation
Š 2017, IRJET
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Impact Factor value: 5.181
An optimization framework for the OpenFlow controller using scalable video coding algorithm provides QoS support for scalable video streaming.
3. PROPOSED WORK The key design goals for designing the proposed work are as follows:
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