A Proof of Optimality on EDF Scheduling in Sink-tree Packetized Networks

Xuan Liu, Bingyang Liu, Shoushou Ren
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Abstract

Earliest Deadline First (EDF) scheduling, is known to obtain the optimality of deterministic delay performance upon the single link. However, due to the generality of the network with multiple nodes and multiple flows transmitted within it, the optimal online scheduling is impossible. In this paper, we prove that EDF can still provide the optimal delay performance in a class of practical multiple-nodes-and-multiple-flows network scenarios, such as 5G Cloud VR/AR applications in up-link cases, namely in sink-tree networks multiple flows sharing the root node as the same destination node. The proof uses the delay-based schedulability region to quantify the performance of different scheduling policies. Finally, the proof indicates that EDF can achieve the largest schedulability region in sink-tree networks.
Sink-tree分组网络中EDF调度的最优性证明
已知最早截止优先调度(EDF)在单链路上获得确定性延迟性能的最优性。然而,由于网络具有多节点、多流传输的通用性,不可能实现最优在线调度。在本文中,我们证明了在一类实际的多节点多流网络场景中,EDF仍然可以提供最优的延迟性能,例如在上行链路情况下的5G云VR/AR应用,即在sink-tree网络中,多个流共享根节点作为相同的目的节点。该证明使用基于延迟的可调度区域来量化不同调度策略的性能。最后,证明了在sink-tree网络中,EDF可以实现最大的可调度区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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