Zobrazeno 1 - 10
of 995
pro vyhledávání: '"Tian, Yuanyuan"'
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
Autor:
Huang, Hanxian, Siddiqui, Tarique, Alotaibi, Rana, Curino, Carlo, Leeka, Jyoti, Jindal, Alekh, Zhao, Jishen, Camacho-Rodriguez, Jesus, Tian, Yuanyuan
Database systems often rely on historical query traces to perform workload-based performance tuning. However, real production workloads are time-evolving, making historical queries ineffective for optimizing future workloads. To address this challeng
Externí odkaz:
http://arxiv.org/abs/2401.03723
Publikováno v:
Proceedings of the ACM on Management of Data (2024) Volume 1 Issue 4
Large scale analytics engines have become a core dependency for modern data-driven enterprises to derive business insights and drive actions. These engines support a large number of analytic jobs processing huge volumes of data on a daily basis, and
Externí odkaz:
http://arxiv.org/abs/2401.01280
Publikováno v:
Transactions in GIS (2023)
Initiated by the University Consortium of Geographic Information Science (UCGIS), GIS&T Body of Knowledge (BoK) is a community-driven endeavor to define, develop, and document geospatial topics related to geographic information science and technologi
Externí odkaz:
http://arxiv.org/abs/2305.09877
Autor:
Tian, Yuanyuan
Rapidly growing social networks and other graph data have created a high demand for graph technologies in the market. A plethora of graph databases, systems, and solutions have emerged, as a result. On the other hand, graph has long been a well studi
Externí odkaz:
http://arxiv.org/abs/2211.13170
Autor:
Tian, Yuanyuan, Li, Wenwen
Knowledge graph technology is considered a powerful and semantically enabled solution to link entities, allowing users to derive new knowledge by reasoning data according to various types of reasoning rules. However, in building such a knowledge grap
Externí odkaz:
http://arxiv.org/abs/2211.06011
Publikováno v:
Journal of Chemical Physics; 5/7/2024, Vol. 160 Issue 17, p1-12, 12p
Autor:
Cai, Yuxin, Xia, Lingling, Zhu, Hangjia, Cheng, Hao, Tian, Yuanyuan, Sun, Liying, Wang, Jun, Lu, Ning, Wang, Jing, Chen, Yongshun
Publikováno v:
In Cellular Signalling July 2024 119
Autor:
Zhao, Shanshan, Wang, Jie, Guo, Zhongli, Luo, Hongqiang, Lu, Lihua, Tian, Yuanyuan, Jiang, Zhuoying, Zhang, Jing, Chen, Mengyu, Li, Lin, Li, Cheng
Publikováno v:
In Journal of Energy Chemistry July 2024 94:441-448
Publikováno v:
In Heliyon 30 June 2024 10(12)