Enabling Work-Conserving Bandwidth Guarantees for Multi-Tenant Datacenters via Dynamic Tenant-Queue Binding

Liu, Zhuotao1; Chen, Kai1; Wu, Haitao1; Hu, Shuihai2; Hu, Yih-Chun2; Wang, Yi3; Zhang, Gong4

10.1109/INFOCOM.2018.8486219

2018

0743-166X

978-1-5386-4129-3

2018 IEEE Conference on Computer Communications, INFOCOM 2018

2018-April

1-9

16-19 April 2018

Honolulu, HI, United states

345 E 47TH ST, NEW YORK, NY 10017 USA

Institute of Electrical and Electronics Engineers Inc.

Today's cloud networks are shared among many tenants. Bandwidth guarantees and work conservation are two key properties to ensure predictable performance for tenant applications and high network utilization for providers. Despite significant efforts, very little prior work can really achieve both properties simultaneously even some of them claimed so. In this paper, we present QShare, a comprehensive in-network solution to achieve bandwidth guarantees and work conservation simultaneously. QShare leverages weighted fair queuing on commodity switches to slice network bandwidth for tenants, and solves the challenge of queue scarcity through balanced tenant placement and dynamic tenant-queue binding. We have implemented a QShare prototype and evaluated it extensively via both testbed experiments and simulations. Our results show that QShare ensures bandwidth guarantees while driving network utilization to over 91% even under unpredictable traffic demands.
© 2018 IEEE.

Bandwidth Resource management Cloud computing Hoses Conferences Computational modeling Topology

其他

英语

EI ; CPCI-S

[CNS-1717313]

Computer Science ; Engineering ; Telecommunications

Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic ; Telecommunications

WOS:000509768900001

20184606060811

Queueing theory

EV Compendex

1.Hong Kong University of Science and Technology, Hong Kong
2.University of Illinois at Urbana-Champaign, United States
3.Southern University of Science and Technology, United States
4.Huawei Future Network Theory Lab, United States

Liu, Zhuotao,Chen, Kai,Wu, Haitao,et al. Enabling Work-Conserving Bandwidth Guarantees for Multi-Tenant Datacenters via Dynamic Tenant-Queue Binding[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:Institute of Electrical and Electronics Engineers Inc.,2018:1-9.