{"date_created":"2023-01-22T23:00:55Z","oa":1,"month":"09","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"The splay-list: A distribution-adaptive concurrent skip-list","doi":"10.1007/s00446-022-00441-x","page":"395-418","article_processing_charge":"No","publication_status":"published","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2008.01009","open_access":"1"}],"department":[{"_id":"DaAl"}],"quality_controlled":"1","intvolume":"        36","author":[{"id":"2980135A-F248-11E8-B48F-1D18A9856A87","first_name":"Vitalii","last_name":"Aksenov","full_name":"Aksenov, Vitalii"},{"first_name":"Dan-Adrian","last_name":"Alistarh","full_name":"Alistarh, Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3650-940X"},{"last_name":"Drozdova","full_name":"Drozdova, Alexandra","first_name":"Alexandra"},{"first_name":"Amirkeivan","full_name":"Mohtashami, Amirkeivan","last_name":"Mohtashami"}],"_id":"12330","publication_identifier":{"eissn":["1432-0452"],"issn":["0178-2770"]},"external_id":{"arxiv":["2008.01009"],"isi":["000913424000001"]},"scopus_import":"1","date_updated":"2023-08-14T12:54:32Z","article_type":"original","publication":"Distributed Computing","publisher":"Springer Nature","status":"public","day":"01","year":"2023","volume":36,"date_published":"2023-09-01T00:00:00Z","oa_version":"Preprint","isi":1,"citation":{"ieee":"V. Aksenov, D.-A. Alistarh, A. Drozdova, and A. Mohtashami, “The splay-list: A distribution-adaptive concurrent skip-list,” <i>Distributed Computing</i>, 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.","ama":"Aksenov V, Alistarh D-A, Drozdova A, Mohtashami A. The splay-list: A distribution-adaptive concurrent skip-list. <i>Distributed Computing</i>. 2023;36:395-418. doi:<a href=\"https://doi.org/10.1007/s00446-022-00441-x\">10.1007/s00446-022-00441-x</a>","mla":"Aksenov, Vitalii, et al. “The Splay-List: A Distribution-Adaptive Concurrent Skip-List.” <i>Distributed Computing</i>, vol. 36, Springer Nature, 2023, pp. 395–418, doi:<a href=\"https://doi.org/10.1007/s00446-022-00441-x\">10.1007/s00446-022-00441-x</a>.","short":"V. Aksenov, D.-A. Alistarh, A. Drozdova, A. Mohtashami, Distributed Computing 36 (2023) 395–418.","apa":"Aksenov, V., Alistarh, D.-A., Drozdova, A., &#38; Mohtashami, A. (2023). The splay-list: A distribution-adaptive concurrent skip-list. <i>Distributed Computing</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00446-022-00441-x\">https://doi.org/10.1007/s00446-022-00441-x</a>","chicago":"Aksenov, Vitalii, Dan-Adrian Alistarh, Alexandra Drozdova, and Amirkeivan Mohtashami. “The Splay-List: A Distribution-Adaptive Concurrent Skip-List.” <i>Distributed Computing</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1007/s00446-022-00441-x\">https://doi.org/10.1007/s00446-022-00441-x</a>."},"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."}],"language":[{"iso":"eng"}],"type":"journal_article"}