Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Umar Farooq Minhas"'
Autor:
Geoffrey X. Yu, Markos Markakis, Andreas Kipf, Per-Åke Larson, Umar Farooq Minhas, Tim Kraska
Publikováno v:
Proceedings of the VLDB Endowment. 16:99-112
Many modern key-value stores, such as RocksDB, rely on log-structured merge trees (LSMs). Originally designed for spinning disks, LSMs optimize for write performance by only making sequential writes. But this optimization comes at the cost of reads:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65a729475e2119cd1080e11941431090
https://doi.org/10.14778/3561261.3561270
https://doi.org/10.14778/3561261.3561270
Autor:
Mike Barnett, Sebastian Burckhardt, Darren Gehring, Niel Lebeck, Christopher S. Meiklejohn, Badrish Chandramouli, Ryan R. Newton, Irene Zhang, Jonathan Goldstein, Umar Farooq Minhas, Ahmed S. Abdelhamid, Tal Zaccai, Rahee Ghosh Peshawaria
Publikováno v:
Proceedings of the VLDB Endowment. 13:588-601
When writing today's distributed programs, which frequently span both devices and cloud services, programmers are faced with complex decisions and coding tasks around coping with failure, especially when these distributed components are stateful. If
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e926e96556105ddadaa1da8d0a8b38d0
https://doi.org/10.14778/3377369.3377370
https://doi.org/10.14778/3377369.3377370
Autor:
Yinan Li, Johannes Gehrke, Tim Kraska, Jialin Ding, Badrish Chandramouli, Ying Li, Chi Wang, Donald Kossmann, Umar Farooq Minhas
Publikováno v:
SIGMOD Conference
Today, businesses rely on efficiently running analytics on large amounts of operational and historical data to gain business insights and competitive advantage. Increasingly, such analytics are run using cloud-based data analytics services, such as G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c07017cb92205ec24f8d5a58d99af01c
https://doi.org/10.1145/3448016.3457270
https://doi.org/10.1145/3448016.3457270
Publikováno v:
ICDE Workshops
This paper aims to initiate a discussion around benchmarking data management systems with machine-learned components. Traditional benchmarks such as TPC or YCSB are insufficient to analyze and understand these learned systems because they evaluate th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4870ca20ca999891fe8048b067e4bf87
https://doi.org/10.1109/icdew53142.2021.00029
https://doi.org/10.1109/icdew53142.2021.00029
The recently released persistent memory (PM) offers high performance, persistence, and is cheaper than DRAM. This opens up new possibilities for indexes that operate and persist data directly on the memory bus. Recent learned indexes exploit data dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::696599cccf7e30106d85545503a4d833
Autor:
Christian Holz, David Ledo, Xiaokuan Zhang, Hemant Bhaskar Surale, Nathalie Henry Riche, Anand Waghmare, Frederik Brudy, Jonathan Goldstein, Marcus Peinado, Michel Pahud, Umar Farooq Minhas, William A. S. Buxton, Shannon Joyner, Badrish Chandramouli, Ken Hinckley
Publikováno v:
UIST
Knowledge work increasingly spans multiple computing surfaces. Yet in status quo user experiences, content as well as tools, behaviors, and workflows are largely bound to the current device-running the current application, for the current user, and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::612058cd0c0d02466d1132f4e7191b4d
https://doi.org/10.1145/3379337.3415874
https://doi.org/10.1145/3379337.3415874
Autor:
Chi Wang, Rajeev Acharya, Zongheng Yang, Badrish Chandramouli, Umar Farooq Minhas, Yinan Li, Per-Ake Larson, Johannes Gehrke, Donald Kossmann
Publikováno v:
SIGMOD Conference
Corporations today collect data at an unprecedented and accelerating scale, making the need to run queries on large datasets increasingly important. Technologies such as columnar block-based data organization and compression have become standard prac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::926759ce3c7d3be54dcb45e8b5c7850b
https://doi.org/10.1145/3318464.3389770
https://doi.org/10.1145/3318464.3389770
Autor:
David Carrera, Clemens Szyperski, Raghu Ramakrishnan, Nicolas Poggi, Thomas Fenech, Alejandro Montero, José A. Blakeley, Donald Kossmann, Josep Lluis Berral, Umar Farooq Minhas, Víctor Cuevas-Vicenttín, Gonzalo Gómez, Davide Brini
Publikováno v:
Performance Evaluation and Benchmarking for the Era of Cloud(s) ISBN: 9783030550233
TPCTC
TPCTC
We introduce an extension for TPC benchmarks addressing the requirements of big data processing in cloud environments. We characterize it as the Elasticity Test and evaluate under TPCx-BB (BigBench). First, the Elasticity Test incorporates an approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01a9513de161773f820ae6f89f02f5c4
https://doi.org/10.1007/978-3-030-55024-0_1
https://doi.org/10.1007/978-3-030-55024-0_1
Publikováno v:
Proceedings of the VLDB Endowment. 11:1702-1714
Database systems use many pointer-based data structures, including hash tables and B+-trees, which require extensive "pointer-chasing." Each pointer dereference, e.g., during a hash probe or a B+-tree traversal, can result in a CPU cache miss, stalli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af1cc7e05b59358d1e6b7f6af20c2699
https://doi.org/10.14778/3236187.3236216
https://doi.org/10.14778/3236187.3236216
Publikováno v:
Proceedings of the VLDB Endowment. 11:553-565
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::631290db740dc84779dfe24a36b8f6b3
https://doi.org/10.1145/3187009.3164147
https://doi.org/10.1145/3187009.3164147