TY - GEN
T1 - Scalable programmable inbound traffic engineering
AU - Sun, Peng
AU - Vanbever, Laurent
AU - Rexford, Jennifer L.
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/6/17
Y1 - 2015/6/17
N2 - With the rise of video streaming and cloud services, enterprise and access networks receive much more traffic than they send, and must rely on the Internet to offer good end-to-end performance. These edge networks often connect to multiple ISPs for better performance and reliability, but have only limited ways to influence which of their ISPs carries the traffic for each service. In this paper, we present Sprite, a software-defined solution for flexible inbound traffic engineering (TE). Sprite offers direct, fine-grained control over inbound traffic, by announcing different public IP prefixes to each ISP, and performing source network address translation (SNAT) on outbound request traffic. Our design achieves scalability in both the data plane (by performing SNAT on edge switches close to the clients) and the control plane (by having local agents install the SNAT rules). The controller translates highlevel TE objectives, based on client and server names, as well as performance metrics, to a dynamic network policy based on realtime traffic and performance measurements. We evaluate Sprite with live data from "in the wild" experiments on an EC2-based testbed, and demonstrate how Sprite dynamically adapts the network policy to achieve high-level TE objectives, such as balancing YouTube traffic among ISPs to improve video quality.
AB - With the rise of video streaming and cloud services, enterprise and access networks receive much more traffic than they send, and must rely on the Internet to offer good end-to-end performance. These edge networks often connect to multiple ISPs for better performance and reliability, but have only limited ways to influence which of their ISPs carries the traffic for each service. In this paper, we present Sprite, a software-defined solution for flexible inbound traffic engineering (TE). Sprite offers direct, fine-grained control over inbound traffic, by announcing different public IP prefixes to each ISP, and performing source network address translation (SNAT) on outbound request traffic. Our design achieves scalability in both the data plane (by performing SNAT on edge switches close to the clients) and the control plane (by having local agents install the SNAT rules). The controller translates highlevel TE objectives, based on client and server names, as well as performance metrics, to a dynamic network policy based on realtime traffic and performance measurements. We evaluate Sprite with live data from "in the wild" experiments on an EC2-based testbed, and demonstrate how Sprite dynamically adapts the network policy to achieve high-level TE objectives, such as balancing YouTube traffic among ISPs to improve video quality.
KW - Scalability
KW - Software-defined networking
KW - Traffic engineering
UR - http://www.scopus.com/inward/record.url?scp=84962081935&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962081935&partnerID=8YFLogxK
U2 - 10.1145/2774993.2775063
DO - 10.1145/2774993.2775063
M3 - Conference contribution
AN - SCOPUS:84962081935
T3 - Symposium on Software Defined Networking (SDN) Research, SOSR 2015
BT - Symposium on Software Defined Networking (SDN) Research, SOSR 2015
PB - Association for Computing Machinery, Inc
T2 - 1st ACM SIGCOMM Symposium on Software Defined Networking Research, SOSR 2015
Y2 - 17 June 2015 through 18 June 2015
ER -