Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kroth, Brian P."'
Autor:
Alotaibi, Rana, Tian, Yuanyuan, Grafberger, Stefan, Camacho-Rodríguez, Jesús, Bruno, Nicolas, Kroth, Brian, Matusevych, Sergiy, Agrawal, Ashvin, Behera, Mahesh, Gosalia, Ashit, Galindo-Legaria, Cesar, Joshi, Milind, Potocnik, Milan, Sezgin, Beysim, Li, Xiaoyu, Curino, Carlo
Customer demand, regulatory pressure, and engineering efficiency are the driving forces behind the industry-wide trend of moving from siloed engines and services that are optimized in isolation to highly integrated solutions. This is confirmed by the
Externí odkaz:
http://arxiv.org/abs/2411.13704
Autor:
Zhu, Yiwen, Tian, Yuanyuan, Cahoon, Joyce, Krishnan, Subru, Agarwal, Ankita, Alotaibi, Rana, Camacho-Rodríguez, Jesús, Chundatt, Bibin, Chung, Andrew, Dutta, Niharika, Fogarty, Andrew, Gruenheid, Anja, Haynes, Brandon, Interlandi, Matteo, Iyer, Minu, Jurgens, Nick, Khushalani, Sumeet, Kroth, Brian, Kumar, Manoj, Leeka, Jyoti, Matusevych, Sergiy, Mittal, Minni, Mueller, Andreas, Muthyala, Kartheek, Nagulapalli, Harsha, Park, Yoonjae, Patel, Hiren, Pavlenko, Anna, Poppe, Olga, Ravindran, Santhosh, Saur, Karla, Sen, Rathijit, Suh, Steve, Tarafdar, Arijit, Waghray, Kunal, Wang, Demin, Curino, Carlo, Ramakrishnan, Raghu
Modern cloud has turned data services into easily accessible commodities. With just a few clicks, users are now able to access a catalog of data processing systems for a wide range of tasks. However, the cloud brings in both complexity and opportunit
Externí odkaz:
http://arxiv.org/abs/2405.01813
All data is not equally popular. Often, some portion of data is more frequently accessed than the rest, which causes a skew in popularity of the data items. Adapting to this skew can improve performance, and this topic has been studied extensively in
Externí odkaz:
http://arxiv.org/abs/2206.12380
Autor:
Kanellis, Konstantinos, Ding, Cong, Kroth, Brian, Müller, Andreas, Curino, Carlo, Venkataraman, Shivaram
Tuning a database system to achieve optimal performance on a given workload is a long-standing problem in the database community. A number of recent works have leveraged ML-based approaches to guide the sampling of large parameter spaces (hundreds of
Externí odkaz:
http://arxiv.org/abs/2203.05128
Autor:
Curino, Carlo, Godwal, Neha, Kroth, Brian, Kuryata, Sergiy, Lapinski, Greg, Liu, Siqi, Oks, Slava, Poppe, Olga, Smiechowski, Adam, Thayer, Ed, Weimer, Markus, Zhu, Yiwen
Developing modern systems software is a complex task that combines business logic programming and Software Performance Engineering (SPE). The later is an experimental and labor-intensive activity focused on optimizing the system for a given hardware,
Externí odkaz:
http://arxiv.org/abs/2006.02155
Autor:
Dai, Yifan, Xu, Yien, Ganesan, Aishwarya, Alagappan, Ramnatthan, Kroth, Brian, Arpaci-Dusseau, Andrea C., Arpaci-Dusseau, Remzi H.
We introduce BOURBON, a log-structured merge (LSM) tree that utilizes machine learning to provide fast lookups. We base the design and implementation of BOURBON on empirically-grounded principles that we derive through careful analysis of LSM design.
Externí odkaz:
http://arxiv.org/abs/2005.14213
Publikováno v:
DAMON 2020
Non-volatile memory (NVM) is an emerging technology, which has the persistence characteristics of large capacity storage devices(e.g., HDDs and SSDs), while providing the low access latency and byte-addressablity of traditional DRAM memory. This uniq
Externí odkaz:
http://arxiv.org/abs/2005.07658
Autor:
Agrawal, Ashvin, Chatterjee, Rony, Curino, Carlo, Floratou, Avrilia, Gowdal, Neha, Interlandi, Matteo, Jindal, Alekh, Karanasos, Kostantinos, Krishnan, Subru, Kroth, Brian, Leeka, Jyoti, Park, Kwanghyun, Patel, Hiren, Poppe, Olga, Psallidas, Fotis, Ramakrishnan, Raghu, Roy, Abhishek, Saur, Karla, Sen, Rathijit, Weimer, Markus, Wright, Travis, Zhu, Yiwen
Machine learning (ML) has proven itself in high-value web applications such as search ranking and is emerging as a powerful tool in a much broader range of enterprise scenarios including voice recognition and conversational understanding for customer
Externí odkaz:
http://arxiv.org/abs/1909.00084
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.