Abstract

The Internet Protocol (IP) address lookup is one of the most challenging tasks for Internet routers, since it requires to perform packet forwarding at wire-speed for tens of millions of incomming packets per second. Efficient IP address lookup algorithms have been widely studied to satisfy this requirement. Among them, Bloom filter-based approach is attractive in providing high performance. This paper proposes a high-speed and flexible architecture based on a vectored-Bloom filter (VBF), which is a space-efficient data structure that can be stored in a fast on-chip memory. An off-chip hash table is infrequently accessed, only when the VBF fails to provide address lookup results. The proposed architecture has been evaluated through both a behavior simulation with C language and a timing simulation with Verilog. The hardware implementation result shows that the proposed architecture can achieve the throughput of 5 million packets per second in a field programmable gate array (FPGA) operated at 100 MHz.

Highlights

  • The global Internet Protocol (IP) traffic forecast provided by Cisco Systems reported that the annual run rate for global IP traffic was 1.5 Zeta bytes per year (122 EB per month) in 2017, and the global IP traffic will reach 4.8 ZB per year by 2022, which means it will increase nearly threefold over the five years

  • In the parallel Bloom filter (PBF) architecture proposed by Dharmapurikar et al [6], W Bloom filters associated with each prefix length are maintained, where W is the number of distinct prefix lengths

  • For the lengths where positive results are returned by the Bloom filters, an off-chip hash table is sequentially accessed starting from the longest length to find the output port of the best matching prefix

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Summary

Introduction

The global IP traffic forecast provided by Cisco Systems reported that the annual run rate for global IP traffic was 1.5 Zeta bytes per year (122 EB per month) in 2017, and the global IP traffic will reach 4.8 ZB per year by 2022, which means it will increase nearly threefold over the five years. Various IP address lookup algorithms have been researched, including trie-based [2,3], hash table-based [5] and Bloom filter-based algorithms [6,7]. The VBF is proposed to obtain lookup results by accessing only an on-chip memory. The construction procedures of the VBF and the hash table are implemented using C at behavior level, since the construction procedure is not necessarily performed in real-time.

Bloom Filter
IP Address Lookup Algorithms Utilizing On-Chip Memories
IP Address Lookup Using a Vectored-Bloom Filter
VBF Programming
VBF Querying
Hash Table Implementation
IP Address Lookup Using VBF
Theoretical Analysis on Search Failure Probability
Hardware Architecture
Basic IP Address Lookup Module
Parallel Architecture
Parallel Architecture with a Single Hash Table
Behavior Simulation
Performance of the Proposed Structure
Performance Comparison with Other Structures
Hardware Implementation
Findings
Conclusions
Full Text
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