iLoad: In-network Load Balancing with Programmable Data Plane

被引:4
作者
Grigoryan, Garegin [1 ]
Liu, Yaoqing [2 ]
Kwon, Minseok [1 ]
机构
[1] Rochester Inst Technol, Rochester, NY 14623 USA
[2] Fairleigh Dickinson Univ, Teaneck, NJ USA
来源
CONEXT'19 COMPANION: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON EMERGING NETWORKING EXPERIMENTS AND TECHNOLOGIES | 2019年
关键词
Load balancing; Green computing; Programmable Data Plane;
D O I
10.1145/3360468.3366774
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Several cloud service and data center providers have announced plans to transition towards environmental-friendly green computing. From a computer networking perspective, such transition requires novel routing approaches over traditional networking protocols, more specifically, end-host-driven load balancing. For example, an end-host may issue a request to change its load, based on its current CPU load or energy availability. Our solution, iLoad, collects such requests from end-hosts and computes the routes entirely in the data plane, providing more efficient and reliable operation of a network.
引用
收藏
页码:17 / 19
页数:3
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