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Transactional data structure libraries (TDSL) combine the ease-of-programmingof transactions with the high performance and scalability of custom-tailoredconcurrent data structures. They can be very efficient thanks to their abilityto exploit data structure semantics in order to reduce overhead, aborts, andwasted work compared to general-purpose software transactional memory. However,TDSLs were not previously used for complex use-cases involving longtransactions and a variety of data structures.  In this paper, we boost the performance and usability of a TDSL, towardsallowing it to support complex applications. A key idea is nesting. Nestedtransactions create checkpoints within a longer transaction, so as to limit thescope of abort, without changing the semantics of the original transaction. Webuild a Java TDSL with built-in support for nested transactions over a numberof data structures. We conduct a case study of a complex network intrusiondetection system that invests a significant amount of work to process eachpacket. Our study shows that our library outperforms publicly available STMstwofold without nesting, and by up to 16x when nesting is used.

Using Nesting to Push the Limits of Transactional Data Structure Libraries