Title
Congestion Control for Cross-Datacenter Networks
Abstract
Geographically distributed applications hosted on cloud are becoming prevalent. They run on cross-datacenter network that consists of multiple data center networks (DCNs) connected by a wide area network (WAN). Such a cross-DC network imposes significant challenges in transport design because the DCN and WAN segments have vastly distinct characteristics (e.g., butter depths, RTTs). In this paper, we find that existing DCN or WAN transports reacting to ECN or delay alone do not (and cannot be extended to) work well for such an environment. The key reason is that neither of the signals, by itself, can simultaneously capture the location and degree of congestion. This is due to the discrepancies between DCN and WAN. Motivated by this, we present the design and implementation of GEMINI that strategically integrates both ECN and delay signals for cross-DC congestion control. To achieve low latency, GEMINI bounds the inter-DC latency with delay signal and prevents the intra-DC packet loss with ECN. To maintain high throughput, GEMINI modulates the window dynamics and maintains low butter occupancy utilizing both congestion signals. GEMINI is implemented in Linux kernel and evaluated by extensive testbed experiments. Results show that GEMINI achieves up to 53%, 31% and 76% reduction of small flow average completion times compared to TCP Cubic, DCTCP and BBR; and up to 58% reduction of large flow average completion times compared to TCP Vegas.
Year
DOI
Venue
2019
10.1109/ICNP.2019.8888042
2019 IEEE 27th International Conference on Network Protocols (ICNP)
Keywords
Field
DocType
telecommunication traffic,cloud computing,Internet,virtualisation,telecommunication network routing,wide area networks,learning (artificial intelligence),resource allocation,computer network management,software defined networking
Latency (engineering),Computer science,TCP Vegas,Packet loss,Computer network,Network congestion,Throughput,Latency (engineering),Wide area network,Linux kernel
Conference
ISSN
ISBN
Citations 
1092-1648
978-1-7281-2701-9
3
PageRank 
References 
Authors
0.36
22
7
Name
Order
Citations
PageRank
Gaoxiong Zeng1223.05
Wei Bai 0001219013.46
Ge Chen3386.24
Kai Chen474459.02
Dongsu Han5333.24
Yibo Zhu655729.41
Lei Cui730.36