Affiliation:
1. Southwest University of Science and Technology
Abstract
To address the challenges that data center networks (DCNs) are currently facing, optical circuit switching in DCNs has been introduced and a number of architectures to improve the performance of DCNs in terms of port capacity, energy efficiency, and data transfer latency have been proposed. This led to a few all-optical interconnects (AOIs), among which Hyper-FleX-LION possesses the reconfigurability that can efficiently support various traffic patterns. In this work, we study the topology management of AOIs in Hyper-FleX-LION to efficiently schedule coflows in them so the average coflow completion time (CCT) can be minimized. We first propose time-efficient algorithms to address the provisioning of a single coflow and then extend the algorithms for multi-coflow scenarios. The simulation results demonstrate that AOIs in Hyper-FleX-LION can accelerate coflows better than the traditional AOIs based on optical cross-connects and achieve an acceleration of up to
5.6
×
under the assumed situations. Our simulations also verify that, for coflow scheduling in Hyper-FleX-LION, our proposal can reduce the average CCT and significantly outperform benchmarks.
Funder
National Natural Science Foundation of China
Fundamental Fund for Central Universities
Subject
Computer Networks and Communications