DocumentCode :
710581
Title :
SDN-based adaptive cloud network management for 3D rendering and streaming services
Author :
Donghyeok Ho ; Kunwoo Shin ; Hwangjun Song
Author_Institution :
Div. of IT Convergence Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
fYear :
2015
fDate :
13-17 April 2015
Firstpage :
1
Lastpage :
5
Abstract :
In this work, we present a SDN-based adaptive cloud network management for 3D rendering and streaming services. In the proposed system, SDN is adopted to provide flexible and intelligent control of cloud network resources. By considering server load and network link states simultaneously, 3D graphic rendering servers, encoding servers, and data transmission paths are dynamically determined with low computational complexity. The proposed system is implemented using the OpenDaylight SDN controller and Mininet network emulator. Finally, simulation results are provided to demonstrate the performance of the proposed system.
Keywords :
cloud computing; computational complexity; media streaming; network servers; rendering (computer graphics); resource allocation; software defined networking; 3D graphic rendering servers; 3D rendering services; 3D streaming services; Mininet network emulator; OpenDaylight SDN controller; SDN-based adaptive cloud network management; cloud network resources; computational complexity; data transmission paths; encoding servers; intelligent control; network link states; server load; Algorithm design and analysis; Cloud computing; Delays; Quality of service; Rendering (computer graphics); Servers; Three-dimensional displays; OpenFlow; Path selection; Quality of Service; SDN-based cloud network; Software-Defined Networking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Softwarization (NetSoft), 2015 1st IEEE Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/NETSOFT.2015.7116151
Filename :
7116151
Link To Document :
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