COC: Hierarchical Coflow Ordering for WAN Bandwidth Optimization in Inter-Data Center

Abstract

Data analytics tends to be geo-distributed, which means the intermediate data may distribute into different data centers. It requires tenants to launch coflows across WAN links. However, there is a gap between tenants and the SD-WAN controller. This gap makes existing SD-WAN bandwidth allocation mechanisms drive to bad performance at tenant level. To fit this gap, this paper presents COC, a novel SD-WAN bandwidth allocation framework using hierarchical coflow ordering, to efficiently improve the coflow completion time of each tenant.

Publication
Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos - SIGCOMM ‘20
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