2026-07-23T04:52:35Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:14847 2024-03-06T10:55:00Z ddc:004 open_access

Brief Announcement: Using Nesting to Push the Limits of Transactional Data Structure Libraries Assa, Gal Meir, Hagar Golan-Gueta, Guy Keidar, Idit Spiegelman, Alexander Transactional Libraries Transactional data structure libraries (TDSL) combine the ease-of-programming of transactions with the high performance and scalability of custom-tailored concurrent data structures. They can be very efficient thanks to their ability to exploit data structure semantics in order to reduce overhead, aborts, and wasted work compared to general-purpose software transactional memory. However, TDSLs were not previously used for complex use-cases involving long transactions and a variety of data structures. In this paper, we boost the performance and usability of a TDSL, towards allowing it to support complex applications. A key idea is nesting. Nested transactions create checkpoints within a longer transaction, so as to limit the scope of abort, without changing the semantics of the original transaction. We build a Java TDSL with built-in support for nested transactions over a number of data structures. We conduct a case study of a complex network intrusion detection system that invests a significant amount of work to process each packet. Our study shows that our library outperforms publicly available STMs twofold without nesting, and by up to 16x when nesting is used. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Gal Assa and Hagar Meir and Guy Golan-Gueta and Idit Keidar and Alexander Spiegelman 2021 Is Part Of LIPIcs, Volume 209, 35th International Symposium on Distributed Computing (DISC 2021) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.DISC.2021.45 urn:nbn:de:0030-drops-148479 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2021.45 eng https://creativecommons.org/licenses/by/4.0/legalcode