Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Aaron J. Elmore"'
Autor:
Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian Foster, Michael Franklin, Sanjay Krishnan, Raul Castro Fernandez
Pooling and sharing data increases and distributes its value. But since data cannot be revoked once shared, scenarios that require controlled release of data for regulatory, privacy, and legal reasons default to not sharing. Because selectively contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8479d6adf52c87633f1b4225ecd68fb5
Publikováno v:
Proceedings of the VLDB Endowment. 14:2586-2598
Modern data-intensive applications often generate large amounts of low precision float data with a limited range of values. Despite the prevalence of such data, there is a lack of an effective solution to ingest, store, and analyze bounded, low-preci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a83c13e7010c8a5103d5ac08e952a7fa
https://doi.org/10.14778/3476249.3476305
https://doi.org/10.14778/3476249.3476305
Publikováno v:
Proceedings of the VLDB Endowment. 14:2795-2798
The ad-hoc, heterogeneous process of modern data science typically involves loading, cleaning, and mutating dataset(s) into multiple versions recorded as artifacts by various tools within a single data science workflow. Lineage information, including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7d7ff40ac77b01cc4e8314601393e2f
https://doi.org/10.14778/3476311.3476347
https://doi.org/10.14778/3476311.3476347
Publikováno v:
Proceedings of the VLDB Endowment. 13:2937-2940
Existing stream processing and continuous query processing systems eagerly maintain standing queries by consuming all available resources to finish the jobs at hand, which can be a major source of wasting CPU cycles and memory resources. However, use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a38e608b47f0f3254cd346d59bcf6ebe
https://doi.org/10.14778/3415478.3415513
https://doi.org/10.14778/3415478.3415513
Publikováno v:
Proceedings of the VLDB Endowment. 13:925-938
We propose PIDS, Pattern Inference Decomposed Storage, an innovative storage method for decomposing string attributes in columnar stores. Using an unsupervised approach, PIDS identifies common patterns in string attributes from relational databases,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89238f57abc9142c8f5032bfb8bb1b0d
https://doi.org/10.14778/3380750.3380761
https://doi.org/10.14778/3380750.3380761
Publikováno v:
The VLDB Journal. 29:509-538
Data science teams often collaboratively analyze datasets, generating dataset versions at each stage of iterative exploration and analysis. There is a pressing need for a system that can support dataset versioning, enabling such teams to efficiently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a455c26a67f40afd867263e1749786d8
https://doi.org/10.1007/s00778-019-00594-5
https://doi.org/10.1007/s00778-019-00594-5
Publikováno v:
UIST
Users face many challenges in keeping their personal file collections organized. While current file-management interfaces help users retrieve files in disorganized repositories, they do not aid in organization. Pertinent files can be difficult to fin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f130f856376011a71d9d353c376e061
https://doi.org/10.1145/3472749.3474736
https://doi.org/10.1145/3472749.3474736
Publikováno v:
Aaron Elmore
SoCC
SoCC
We propose MindPalace, a prototype of a versioned database for efficient collaborative data management. MindPalace supports offline collaboration, where users work independently without real-time correspondence. The core of MindPalace is a critical s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::572e102517d68a765ca1fa24a281d992
http://arxiv.org/abs/2110.01778
http://arxiv.org/abs/2110.01778
Publikováno v:
SIGIR
Prior work suggests that users conceptualize the organization of personal collections of digital files through the lens of similarity. However, it is unclear to what degree similar files are actually located near one another (e.g., in the same direct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a1e4442f56f63c8b7e5678e3da6fc25
https://doi.org/10.1145/3404835.3462845
https://doi.org/10.1145/3404835.3462845
Publikováno v:
SIGMOD Conference
Shared query execution can reduce resource consumption by sharing common sub-expressions across concurrent queries. We show that this is not always the case when regularly querying a dataset under change. Depending on latency goals, how eagerly to in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da0302c52f77668dd720f1ef7fb618ba
https://doi.org/10.1145/3448016.3457282
https://doi.org/10.1145/3448016.3457282