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Improving Bloom Filter Forwarding Architectures


Abstract:

To improve Bloom filter-based packet forwarding architectures, we introduce one additional Bloom filter that stores the correct next hop information for recent false posi...Show More

Abstract:

To improve Bloom filter-based packet forwarding architectures, we introduce one additional Bloom filter that stores the correct next hop information for recent false positives so as to handle subsequent false positives. Through Click-based experiments, we show that the additional Bloom filter reduces the average table lookup time (i.e., from 120 ns to 93 ns) by handling most false positives within the fast memory.
Published in: IEEE Communications Letters ( Volume: 18, Issue: 10, October 2014)
Page(s): 1715 - 1718
Date of Publication: 05 September 2014

ISSN Information:

Citations are not available for this document.

I. Introduction

IN a packet forwarding architecture, efficient use of a fast memory (e.g., on-chip SRAM) is important because the memory access is one of the main performance bottlenecks. In this regard, Bloom filter is considered as one attractive way for improving the packet forwarding because of its space efficiency. For example, the routing table can be transformed into Bloom filters so that whole or partial routing table can be kept in the fast memory [2], [3].

Cites in Papers - |

Cites in Papers - IEEE (5)

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1.
Sunyoung Park, Hyunji Kim, Hana Kim, Ji-Hoon Kim, "PA-2SBF: Pattern-Adaptive Two-Stage Bloom Filter for Run-Time Memory Diagnostic Data Compression in Automotive SoCs", 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp.1-6, 2024.
2.
Sunyoung Park, Hyunji Kim, Hana Kim, Ji-Hoon Kim, "PA-2SBF: Pattern-Adaptive Two-Stage Bloom Filter for Run-Time Memory Diagnostic Data Compression in Automotive SoCs", 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp.1-6, 2024.
3.
Lishui Chen, Yongqi Zhang, Yazhe Tang, "On the Optimization of Flow Tables of SDN-enabled Switches", 2021 5th International Conference on Communication and Information Systems (ICCIS), pp.18-22, 2021.
4.
Bogdan Groza, Pal-Stefan Murvay, "Efficient Intrusion Detection With Bloom Filtering in Controller Area Networks", IEEE Transactions on Information Forensics and Security, vol.14, no.4, pp.1037-1051, 2019.
5.
ChoongHee Cho, JungBok Lee, Jeong-dong Ryoo, "A collision-mitigation hashing scheme utilizing empty slots of cuckoo hash table", 2017 19th International Conference on Advanced Communication Technology (ICACT), pp.514-517, 2017.

Cites in Papers - Other Publishers (3)

1.
Ripon Patgiri, Sabuzima Nayak, Naresh Babu Muppalaneni, "robustBF: a high accuracy and memory efficient 2D Bloom Filter for diverse applications", Bloom Filter, pp.23, 2023.
2.
Xiaomei Tian, Huihuang Zhao, "Constant-Weight Group Coded Bloom Filter for Multiple-Set Membership Queries", The 10th International Conference on Computer Engineering and Networks, vol.1274, pp.723, 2021.
3.
Ju Hyoung Mun, Hyesook Lim, "On Sharing an FIB Table in Named Data Networking", Applied Sciences, vol.9, no.15, pp.3178, 2019.
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References

References is not available for this document.