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Paper Abstract and Keywords
Presentation 2021-09-09 14:55
Acceleration of learned index structures: A case for IP packet forwarding
Shunsuke Higuchi, Junji Takemasa, Yuki Koizumi (Osaka Univ.), Atushi Tagami (KDDI Research), Toru Hasegawa (Osaka Univ.) NS2021-65
Abstract (in Japanese) (See Japanese page) 
(in English) An emerging data structure, a learned index structure, which uses machine learning to associate key-position pairs in a key-value store. The authors have applied learned index structures to an forwarding information base (FIB) of IP, which is referred to as a learned FIB, in the previous work. The learned FIB consists of the following two phases: First, it predicts the position of the FIB entry corresponding to an input IP address by leveraging a machine learning regression model. Second, it searches around the predicted position for the FIB entry to correct errors caused by the regression model. In the present study, we reveal that the second phase accounts for 72 percent of the entire computation time, and one of significant causes of the long computation time is pipeline stalls due to branch misprediction. On the basis of the analysis, we design and implement the learned FIB without any loops and branches. The new implementation realizes approximately 1.5 times faster than our previous implementation.
Keyword (in Japanese) (See Japanese page) 
(in English) Forwarding information base / Forwarding / Longest prefix matching / Learned index / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 170, NS2021-65, pp. 48-53, Sept. 2021.
Paper # NS2021-65 
Date of Issue 2021-09-02 (NS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NS2021-65

Conference Information
Committee IN NS CS NV  
Conference Date 2021-09-09 - 2021-09-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Session management (SIP/IMS), Interoperability/Standardization, NGN/NwGN/Future networks, Cloud/Data center networks, SDN (OpenFlow, etc.)/NFV, IPv6, Machine learning, etc. 
Paper Information
Registration To NS 
Conference Code 2021-09-IN-NS-CS-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration of learned index structures: A case for IP packet forwarding 
Sub Title (in English)  
Keyword(1) Forwarding information base  
Keyword(2) Forwarding  
Keyword(3) Longest prefix matching  
Keyword(4) Learned index  
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1st Author's Name Shunsuke Higuchi  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Junji Takemasa  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Yuki Koizumi  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Atushi Tagami  
4th Author's Affiliation KDDI Research, Inc. (KDDI Research)
5th Author's Name Toru Hasegawa  
5th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2021-09-09 14:55:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2021-65 
Volume (vol) vol.121 
Number (no) no.170 
Page pp.48-53 
#Pages 6 
Date of Issue 2021-09-02 (NS) 

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