Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Olston, Christopher"'
Autor:
Abu-Libdeh, Hussam, Altınbüken, Deniz, Beutel, Alex, Chi, Ed H., Doshi, Lyric, Kraska, Tim, Xiaozhou, Li, Ly, Andy, Olston, Christopher
There is great excitement about learned index structures, but understandable skepticism about the practicality of a new method uprooting decades of research on B-Trees. In this paper, we work to remove some of that uncertainty by demonstrating how a
Externí odkaz:
http://arxiv.org/abs/2012.12501
Autor:
Olston, Christopher, Fiedel, Noah, Gorovoy, Kiril, Harmsen, Jeremiah, Lao, Li, Li, Fangwei, Rajashekhar, Vinu, Ramesh, Sukriti, Soyke, Jordan
We describe TensorFlow-Serving, a system to serve machine learning models inside Google which is also available in the cloud and via open-source. It is extremely flexible in terms of the types of ML platforms it supports, and ways to integrate with s
Externí odkaz:
http://arxiv.org/abs/1712.06139
In-degree, PageRank, number of visits and other measures of Web page popularity significantly influence the ranking of search results by modern search engines. The assumption is that popularity is closely correlated with quality, a more elusive conce
Externí odkaz:
http://arxiv.org/abs/cs/0503011
Autor:
Garrod, Charles, Manjhi, Amit, Ailamaki, Anastasia, Maggs, Bruce, Mowry, Todd, Olston, Christopher, Tomasic, Anthony
Publikováno v:
Proceedings of the VLDB Endowment; 20240101, Issue: Preprints p550-561, 12p
Autor:
Fontoura, Marcus, Josifovski, Vanja, Kumar, Ravi, Olston, Christopher, Tomkins, Andrew, Vassilvitskii, Sergei
Publikováno v:
Proceedings of the VLDB Endowment; 20240101, Issue: Preprints p672-683, 12p
Publikováno v:
Proceedings of the VLDB Endowment; 20240101, Issue: Preprints p958-969, 12p
Autor:
Chin, Brian, Von Dincklage, Daniel, Ercegovac, Vuc, Hawkins, Peter, Miller, Mark S., Och, Franz, Olston, Christopher, Pereira, Fernando
With huge progress on data processing frameworks, human programmers are frequently the bottleneck when analyzing large repositories of data. We introduce Yedalog, a declarative programming language that allows programmers to mix data-parallel pipelin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::659c30687686abb63e7c927d45550083
Government, medical, financial, and web-based services increasingly depend on the ability to rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step computations over successive generations of data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3988a9171daab3fb199efc166c871a0f
https://escholarship.org/uc/item/9bx1c3pk
https://escholarship.org/uc/item/9bx1c3pk
Autor:
Olston, Christopher, Najork, Marc A.
This is a survey of the science and practice of web crawling. While at first glance web crawling may appear to be merely an application of breadth-first-search, the truth is that there are many challenges ranging from systems concerns such as managin