4.1 Article

Scaling Up Clustered Network Appliances with ScaleBricks

期刊

ACM SIGCOMM COMPUTER COMMUNICATION REVIEW
卷 45, 期 4, 页码 241-254

出版社

ASSOC COMPUTING MACHINERY
DOI: 10.1145/2785956.2787503

关键词

network function virtualization; scalability; hashing algorithms

资金

  1. NSF [CNS-1345305, CNS-1314721, IIS-0964473, CNS-1228598, CCF-1320231]
  2. Intel Science and Technology Center for Cloud Computing

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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.

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