Pricing Intra-Datacenter Networks with Over-Committed Bandwidth Guarantee

Authors: 

Jian Guo, Fangming Liu, and Tao Wang, Key Laboratory of Services Computing Technology and System, Ministry of Education, School of Computer Science and Technology, Huazhong University of Science and Technology; John C.S. Lui, The Chinese University of Hong Kong

Abstract: 

Current IaaS clouds provide performance guarantee on CPU and memory but no quantitative network performance for VM instances. Our measurements from three production IaaS clouds show that for the VMs with same CPU and memory, or similar pricing, the difference in bandwidth performance can be as much as 16×, which reveals a severe price-performance anomaly due to a lack of pricing for bandwidth guarantee. Considering the low network utilization in cloud-scale datacenters, we address this by presenting SoftBW, a system that enables pricing bandwidth with over commitment on bandwidth guarantee. SoftBW leverages usage-based charging to guarantee price-performance consistency among tenants, and implements a fulfillment based scheduling to provide bandwidth/fairness guarantee under bandwidth over commitment. Both testbed experiments and large-scale simulation results validate SoftBW’s ability of providing efficient bandwidth guarantee, and show that by using bandwidth over commitment, SoftBW increases 3.9× network utilization while incurring less than 5% guarantee failure.

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

Presentation Audio

BibTeX
@inproceedings {203177,
author = {Jian Guo and Fangming Liu and Tao Wang and John C.S. Lui},
title = {Pricing Intra-Datacenter Networks with Over-Committed Bandwidth Guarantee},
booktitle = {2017 {USENIX} Annual Technical Conference ({USENIX} {ATC} 17)},
year = {2017},
isbn = {978-1-931971-38-6},
address = {Santa Clara, CA},
pages = {69--81},
url = {https://www.usenix.org/conference/atc17/technical-sessions/presentation/guo-jian},
publisher = {{USENIX} Association},
}