DCCast: Efficient Point to Multipoint Transfers Across Datacenters


Mohammad Noormohammadpour and Cauligi S. Raghavendra, University of Southern California; Sriram Rao and Srikanth Kandula, Microsoft


Using multiple datacenters allows for higher availability, load balancing and reduced latency to customers of cloud services. To distribute multiple copies of data, cloud providers depend on inter-datacenterWANs that ought to be used efficiently considering their limited capacity and the ever-increasing data demands. In this paper, we focus on applications that transfer objects from one datacenter to several datacenters over dedicated inter-datacenter networks. We present DCCast, a centralized Point to Multi-Point (P2MP) algorithm that uses forwarding trees to efficiently deliver an object from a source datacenter to required destination datacenters. With low computational overhead, DCCast selects forwarding trees that minimize bandwidth usage and balance load across all links. With simulation experiments on Google’s GScale network, we show that DCCast can reduce total bandwidth usage and tail Transfer Completion Times (TCT) by up to 50% compared to delivering the same objects via independent point-to-point (P2P) transfers.

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@inproceedings {203320,
author = {Mohammad Noormohammadpour and Cauligi S. Raghavendra and Sriram Rao and Srikanth Kandula},
title = {DCCast: Efficient Point to Multipoint Transfers Across Datacenters},
booktitle = {9th {USENIX} Workshop on Hot Topics in Cloud Computing (HotCloud 17)},
year = {2017},
address = {Santa Clara, CA},
url = {https://www.usenix.org/conference/hotcloud17/program/presentation/noormohammadpour},
publisher = {{USENIX} Association},