SYSYSPAug 28, 2018

Application-Network Collaboration Using SDN for Ultra-Low Delay Teleorchestras

arXiv:1808.093996 citationsh-index: 34
AI Analysis

For tele-orchestra applications requiring ultra-low delay, this work provides a more effective approach than existing passive methods.

The paper proposes an active collaboration between network and NMP applications using SDN to minimize mouth-to-ear delay, achieving up to 59% improvement over passive solutions.

Networked Music Performance (NMP) constitutes a class of ultra-low delay sensitive applications, allowing geographically separate musicians to perform seamlessly as a tele-orchestra. For this application type, the QoS indicator is the mouth-to-ear delay, which should be kept under 25 milliseconds. The mouth-to-ear delay comprises signal processing latency and network delay. We propose a strong collaboration between the network and NMP applications to \emph{actively} keep the to mouth-to-ear delay minimal, using direct state notifications. Related approaches can be characterized as \emph{passive}, since they try to estimate the network state indirectly, based on the end application performance. Our solution employs Software Defined Networking (SDN) to implement the network-to-application collaboration, being facilitated by the well-defined network interface that SDN offers. Emulation results show that the proposed scheme achieves an improvement of up to 59% in mouth-to-ear delay over the existing passive solutions.

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