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pro vyhledávání: '"Wilson Qin"'
Publikováno v:
Proceedings of the VLDB Endowment. 15:112-126
We present a self-designing key-value storage engine, Cosine, which can always take the shape of the close to "perfect" engine architecture given an input workload, a cloud budget, a target performance, and required cloud SLAs. By identifying and for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f74c857e812637f2d767235223af6810
https://doi.org/10.14778/3485450.3485461
https://doi.org/10.14778/3485450.3485461
Publikováno v:
SIGMOD Conference
We introduce Rosetta, a probabilistic range filter designed specifically for LSM-tree based key-value stores. The core intuition is that we can sacrifice filter probe time because it is not visible in end-to-end key-value store performance, which in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e1055bdc54afe00d6dc2bc644880e55
https://doi.org/10.1145/3318464.3389731
https://doi.org/10.1145/3318464.3389731
Autor:
Stratos Idreos, Wilson Qin
Publikováno v:
SIGMOD Conference
As modern main-memory optimized data systems increasingly rely on fast scans, lightweight indexes that allow for data skipping play a crucial role in data filtering to reduce system I/O. Scans benefit from data skipping when the data order is sorted,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1eb464e200704fc55fcf0a82eebfed8e
https://doi.org/10.1145/2882903.2914836
https://doi.org/10.1145/2882903.2914836