{"date_published":"2023-01-12T00:00:00Z","year":"2023","quality_controlled":"1","language":[{"iso":"eng"}],"author":[{"id":"2980135A-F248-11E8-B48F-1D18A9856A87","last_name":"Aksenov","full_name":"Aksenov, Vitalii","first_name":"Vitalii"},{"first_name":"Dan-Adrian","orcid":"0000-0003-3650-940X","full_name":"Alistarh, Dan-Adrian","last_name":"Alistarh","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Alexandra","last_name":"Drozdova","full_name":"Drozdova, Alexandra"},{"last_name":"Mohtashami","full_name":"Mohtashami, Amirkeivan","first_name":"Amirkeivan"}],"publication_status":"epub_ahead","department":[{"_id":"DaAl"}],"oa_version":"Preprint","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"12330","doi":"10.1007/s00446-022-00441-x","status":"public","scopus_import":"1","abstract":[{"lang":"eng","text":"The design and implementation of efficient concurrent data structures has seen significant attention. However, most of this work has focused on concurrent data structures providing good worst-case guarantees, although, in real workloads, objects are often accessed at different rates. Efficient distribution-adaptive data structures, such as splay-trees, are known in the sequential case; however, they often are hard to translate efficiently to the concurrent case. We investigate distribution-adaptive concurrent data structures, and propose a new design called the splay-list. At a high level, the splay-list is similar to a standard skip-list, with the key distinction that the height of each element adapts dynamically to its access rate: popular elements “move up,” whereas rarely-accessed elements decrease in height. We show that the splay-list provides order-optimal amortized complexity bounds for a subset of operations, while being amenable to efficient concurrent implementation. Experiments show that the splay-list can leverage distribution-adaptivity for performance, and can outperform the only previously-known distribution-adaptive concurrent design in certain workloads."}],"date_updated":"2023-02-02T13:10:46Z","date_created":"2023-01-22T23:00:55Z","day":"12","article_type":"original","title":"The splay-list: A distribution-adaptive concurrent skip-list","external_id":{"arxiv":["2008.01009"]},"publication_identifier":{"eissn":["1432-0452"],"issn":["0178-2770"]},"type":"journal_article","publication":"Distributed Computing","article_processing_charge":"No","oa":1,"publisher":"Springer Nature","citation":{"chicago":"Aksenov, Vitalii, Dan-Adrian Alistarh, Alexandra Drozdova, and Amirkeivan Mohtashami. “The Splay-List: A Distribution-Adaptive Concurrent Skip-List.” Distributed Computing. Springer Nature, 2023. https://doi.org/10.1007/s00446-022-00441-x.","ista":"Aksenov V, Alistarh D-A, Drozdova A, Mohtashami A. 2023. The splay-list: A distribution-adaptive concurrent skip-list. Distributed Computing.","short":"V. Aksenov, D.-A. Alistarh, A. Drozdova, A. Mohtashami, Distributed Computing (2023).","ama":"Aksenov V, Alistarh D-A, Drozdova A, Mohtashami A. The splay-list: A distribution-adaptive concurrent skip-list. Distributed Computing. 2023. doi:10.1007/s00446-022-00441-x","apa":"Aksenov, V., Alistarh, D.-A., Drozdova, A., & Mohtashami, A. (2023). The splay-list: A distribution-adaptive concurrent skip-list. Distributed Computing. Springer Nature. https://doi.org/10.1007/s00446-022-00441-x","mla":"Aksenov, Vitalii, et al. “The Splay-List: A Distribution-Adaptive Concurrent Skip-List.” Distributed Computing, Springer Nature, 2023, doi:10.1007/s00446-022-00441-x.","ieee":"V. Aksenov, D.-A. Alistarh, A. Drozdova, and A. Mohtashami, “The splay-list: A distribution-adaptive concurrent skip-list,” Distributed Computing. Springer Nature, 2023."},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2008.01009"}],"month":"01"}