Abstract:In this paper, we will discuss our on-going effort for OF@TEIN SDN (Software-Defined Networking) testbed, which currently spans over Korea and five South-East Asian (SEA) collaborators with internationally deployed OpenFlowenabled SmartX Racks.

Af ced several cha ocedure for OF d verify the ayground, the ulti-national d mmunity effort perience on hancements. B F@TEIN virtua the emerging S Index Terms mputing, Futur 10. P. M. Thet, N. Tientrakul, J. Kim and C. Aswakul, "Emulated OpenFlow based experimental study on middle-box buffering effect for multi-path chunked video streaming,"

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Abstract:The networked visual sharing application in multi-party collaboration environment needs compression of video streams due to network bandwidth limitation. For interactive real-time sharing, real-time compression of high-quality video as well as audio echo cancellation are required, which commonly depend on the availability of high-cost hard-to-setup specialized compression and echo-cancellation hardware. In this paper, by leveraging the computing power of GPU-accelerated PC (personal computer), we discuss how to support the software-only real-time compression of HD (high-definition) video streams. The chosen lightweight scheme, DXT (i.e., S3 Texture Compression), is highly matched with GPU-accelerated texture compression. By implementing GPU-accelerated DXT compression, based on CUDA (Compute Unified Device Architecture) parallel computing, and by deploying a software-based echo controller together, we can enable a low-cost solution for efficient networked visual sharing in collaboration environment.