{"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2008.01009"}],"oa":1,"language":[{"iso":"eng"}],"quality_controlled":"1","intvolume":" 36","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"395-418","day":"01","publication_status":"published","publication":"Distributed Computing","date_published":"2023-09-01T00:00:00Z","external_id":{"arxiv":["2008.01009"],"isi":["000913424000001"]},"_id":"12330","volume":36,"author":[{"id":"2980135A-F248-11E8-B48F-1D18A9856A87","last_name":"Aksenov","full_name":"Aksenov, Vitalii","first_name":"Vitalii"},{"first_name":"Dan-Adrian","last_name":"Alistarh","full_name":"Alistarh, Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3650-940X"},{"first_name":"Alexandra","full_name":"Drozdova, Alexandra","last_name":"Drozdova"},{"first_name":"Amirkeivan","full_name":"Mohtashami, Amirkeivan","last_name":"Mohtashami"}],"doi":"10.1007/s00446-022-00441-x","publication_identifier":{"eissn":["1432-0452"],"issn":["0178-2770"]},"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."}],"year":"2023","publisher":"Springer Nature","status":"public","article_type":"original","department":[{"_id":"DaAl"}],"oa_version":"Preprint","type":"journal_article","citation":{"mla":"Aksenov, Vitalii, et al. “The Splay-List: A Distribution-Adaptive Concurrent Skip-List.” Distributed Computing, vol. 36, Springer Nature, 2023, pp. 395–418, doi:10.1007/s00446-022-00441-x.","ama":"Aksenov V, Alistarh D-A, Drozdova A, Mohtashami A. The splay-list: A distribution-adaptive concurrent skip-list. Distributed Computing. 2023;36:395-418. 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, vol. 36. Springer Nature, pp. 395–418, 2023.","ista":"Aksenov V, Alistarh D-A, Drozdova A, Mohtashami A. 2023. The splay-list: A distribution-adaptive concurrent skip-list. Distributed Computing. 36, 395–418.","short":"V. Aksenov, D.-A. Alistarh, A. Drozdova, A. Mohtashami, Distributed Computing 36 (2023) 395–418.","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","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."},"date_created":"2023-01-22T23:00:55Z","scopus_import":"1","article_processing_charge":"No","isi":1,"month":"09","date_updated":"2023-08-14T12:54:32Z","title":"The splay-list: A distribution-adaptive concurrent skip-list"}