Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Srikanth Kandula"'
Agricultural productivity is significantly affected by weather and climate extremes such as droughts and heat waves. Despite several studies addressing the impact of individual and compound extremes on crop yields, there needs to be more comprehensiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57ce7bdf39e55de4cffaf7beee54e071
https://doi.org/10.21203/rs.3.rs-2606142/v1
https://doi.org/10.21203/rs.3.rs-2606142/v1
Publikováno v:
Proceedings of the VLDB Endowment. 15:414-426
We consider the problem of pre-training models which convert structured datasets into succinct summaries that can be used to answer cardinality estimation queries. Doing so avoids per-dataset training and, in our experiments, reduces the time to cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fe3ef0052293fb0bcc3107d083be037
https://doi.org/10.14778/3494124.3494127
https://doi.org/10.14778/3494124.3494127
Publikováno v:
Proceedings of the 21st ACM Workshop on Hot Topics in Networks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14d7ff204e6d412e6475d3a846e7877b
https://doi.org/10.1145/3563766.3564102
https://doi.org/10.1145/3563766.3564102
Publikováno v:
The VLDB Journal. 31:1263-1290
Using data statistics, we convert predicates on a table into data-induced predicates (diPs) that apply on the joining tables. Doing so substantially speeds up multi-relation queries because the benefits of predicate pushdown can now apply beyond just
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4bd6ef4f3667fd0f645f6a10ef81890
https://doi.org/10.1007/s00778-021-00693-2
https://doi.org/10.1007/s00778-021-00693-2
Autor:
Peter Kraft, Stephen Boyd, Firas Abuzaid, Matei Zaharia, Akshay Agrawal, Fiodar Kazhamiaka, Srikanth Kandula, Deepak Narayanan
Publikováno v:
SOSP
Resource allocation problems in many computer systems can be formulated as mathematical optimization problems. However, finding exact solutions to these problems using off-the-shelf solvers is often intractable for large problem sizes with tight SLAs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf8f4fa7277ca0d9452084fa5c6e3d8d
https://doi.org/10.1145/3477132.3483588
https://doi.org/10.1145/3477132.3483588
Autor:
Nofel Yaseen, Daniel S. Berger, Felipe Vieira Frujeri, Krishna Chintalapudi, Behnaz Arzani, Srikanth Kandula, Vaishnavi Ranganathan, Kevin Hsieh, Vincent Liu
Publikováno v:
HotNets
Continuously monitoring a wide variety of performance and fault metrics has become a crucial part of operating large-scale datacenter networks. In this work, we ask whether we can reduce the costs to monitor -- in terms of collection, storage and ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f14d17809a29414a94d6ed7e65a98af
http://arxiv.org/abs/2110.05554
http://arxiv.org/abs/2110.05554
Publikováno v:
Proceedings of the VLDB Endowment. 13:252-265
Using data statistics, we convert predicates on a table into data induced predicates (diPs) that apply on the joining tables. Doing so substantially speeds up multi-relation queries because the benefits of predicate pushdown can now apply beyond just
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de7b04e0679db493f5e786a04ac7751b
https://doi.org/10.14778/3368289.3368292
https://doi.org/10.14778/3368289.3368292
Publikováno v:
Proceedings of the VLDB Endowment. 12:2131-2142
With the rapidly growing volume of data, it is more attractive than ever to leverage approximations to answer analytic queries. Sampling is a powerful technique which has been studied extensively from the point of view of facilitating approximation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21b321343611729629bf8fe335783daa
https://doi.org/10.14778/3352063.3352130
https://doi.org/10.14778/3352063.3352130
Publikováno v:
Proceedings of the VLDB Endowment. 12:1044-1057
Query optimizers depend on selectivity estimates of query predicates to produce a good execution plan. When a query contains multiple predicates, today's optimizers use a variety of assumptions, such as independence between predicates, to estimate se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e9e0ec371ae63fc5e83206b1c485f10
https://doi.org/10.14778/3329772.3329780
https://doi.org/10.14778/3329772.3329780
Bulk transfers from one to multiple datacenters can have many different completion time objectives ranging from quickly replicating some $k$ copies to minimizing the time by which the last destination receives a full replica. We design an SDN-style w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb7a5b0f8356f1b87b587f2918c21baf
http://arxiv.org/abs/1905.01749
http://arxiv.org/abs/1905.01749