Scaling Up Clustered Network Appliances with ScaleBricks

被引:0
|
作者
Zhou, Dong [1 ]
Fan, Bin [1 ]
Lim, Hyeontaek [1 ]
Andersen, David G. [1 ]
Kaminsky, Michael [2 ]
Mitzenmacher, Michael [3 ]
Wang, Ren [2 ]
Singh, Ajaypal [4 ]
机构
[1] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[2] Intel Labs, Santa Clara, CA USA
[3] Harvard Univ, Cambridge, MA 02138 USA
[4] Connectem Inc, San Jose, CA USA
关键词
network function virtualization; scalability; hashing algorithms; HASH;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper presents ScaleBricks, a new design for building scalable, clustered network appliances that must "pin" flow state to a specific handling node without being able to choose which node that should be. ScaleBricks applies a new, compact lookup structure to route packets directly to the appropriate handling node, without incurring the cost of multiple hops across the internal interconnect. Its lookup structure is many times smaller than the alternative approach of fully replicating a forwarding table onto all nodes. As a result, ScaleBricks is able to improve throughput and latency while simultaneously increasing the total number of flows that can be handled by such a cluster. This architecture is effective in practice: Used to optimize packet forwarding in an existing commercial LTE-to-Internet gateway, it increases the throughput of a four-node cluster by 23%, reduces latency by up to 10%, saves memory, and stores up to 5.7x more entries in the forwarding table.
引用
收藏
页码:241 / 254
页数:14
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