Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Stratos Idreos"'
Autor:
Alon Halevy, Surajit Chaudhuri, Juliana Freire, Dan Suciu, Volker Markl, Michael J. Franklin, Joseph M. Hellerstein, Sergey Melnik, Fatma Ozcan, Chandrasekaran Mohan, David G. Andersen, AnHai Doan, Raghu Ramakrishnan, Stratos Idreos, Tim Kraska, Tova Milo, Anastasia Ailamaki, Magdalena Balazinska, Thomas Neumann, Michael Stonebraker, Beng Chin Ooi, Raluca Ada Popa, Andrew Pavlo, Donald Kossmann, Alvin Cheung, Jignesh M. Patel, Christopher Ré, Peter Bailis, Luna Dong, Peter Boncz, Daniel J. Abadi, Philip A. Bernstein, Sailesh Krishnamurthy
Publikováno v:
Communications of the ACM. 65:72-79
Approximately every five years, a group of database researchers meet to do a self-assessment of our community, including reflections on our impact on the industry as well as challenges facing our research community. This report summarizes the discuss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89ef5a2d98061d8040d8e15b7bcf63de
https://doi.org/10.1145/3524284
https://doi.org/10.1145/3524284
Autor:
Kapil Vaidya, Subarna Chatterjee, Eric Knorr, Michael Mitzenmacher, Stratos Idreos, Tim Kraska
Publikováno v:
Proceedings of the VLDB Endowment. 15:1632-1644
We present Sparse Numerical Array-Based Range Filters (SNARF), a learned range filter that efficiently supports range queries for numerical data. SNARF creates a model of the data distribution to map the keys into a bit array which is stored in a com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0291b0d026001873517671e6a5395b36
https://doi.org/10.14778/3529337.3529347
https://doi.org/10.14778/3529337.3529347
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
Autor:
Sihem Amer-Yahia, Sourav S. Bhowmick, Xin Luna Dong, Stratos Idreos, Wolfgang Lehner, Divesh Srivastava
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f3b6befc3d80fb3a3a758a9d771d30f
https://doi.org/10.1145/3514221.3528413
https://doi.org/10.1145/3514221.3528413
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82cff5ab66fa4b72abc564e65029412b
https://doi.org/10.1145/3514221.3517894
https://doi.org/10.1145/3514221.3517894
Publikováno v:
Proceedings of the VLDB Endowment. 14:600-612
We present Stacked Filters, a new probabilistic filter which is fast and robust similar to query-agnostic filters (such as Bloom and Cuckoo filters), and at the same time brings low false positive rates and sizes similar to classifier-based filters (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e33bc50f2cf696aa6390997c45c954c5
https://doi.org/10.14778/3436905.3436919
https://doi.org/10.14778/3436905.3436919
Memory disaggregation (MD) allows for scalable and elastic data center design by separating compute (CPU) from memory. With MD, compute and memory are no longer coupled into the same server box. Instead, they are connected to each other via ultra-fas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cd486580df657930849ba67acc8cfc9
Publikováno v:
SIGMOD Conference
Deep learning enables numerous applications across diverse areas. Data systems researchers are also increasingly experimenting with deep learning to enhance data systems performance. We present a tutorial on deep learning, highlighting the data syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b218ec8786838eba31368871e2a7b4d7
https://doi.org/10.1145/3448016.3457541
https://doi.org/10.1145/3448016.3457541