Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Bob Schulman"'
Autor:
David Zhang, Ramesh Subramonian, Kapil Surlaker, Kishore Gopalakrishna, Zhen Zhang, Bob Schulman, Sajid Topiwala, Mihir Gandhi
Publikováno v:
DBTest
The increasing deployment of distributed systems to solve large data and computational problems has not seen a concomitant increase in tools and techniques to test these systems. In this paper, we propose a data driven approach to testing. We transla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8508c2a4df40807efb7668694c6cf763
https://doi.org/10.1145/2479440.2479448
https://doi.org/10.1145/2479440.2479448
Autor:
Chris Beaver, Abraham Sebastian, Alexander Pachev, Swaroop Jgadish, Cuong Tran, Yun Sun, Bob Schulman, Aditya Auradar, Sajid Topiwala, Rupa Shanbhag, Lin Qiao, Oliver Nicholas Seeliger, Kapil Surlaker, David Zhang, Aditya Ramesh, Gregory Brandt, Subbu Subramaniam, Mihir Gandhi, Jemiah Westerman, Shirshanka Das, Zhen Zhang, Shi Lu, Wai Ip, Antony Curtis, Kishore Gopalakrishna, Thomas J. Quiggle, Bhaskar Ghosh
Publikováno v:
SIGMOD Conference
Espresso is a document-oriented distributed data serving platform that has been built to address LinkedIn's requirements for a scalable, performant, source-of-truth primary store. It provides a hierarchical document model, transactional support for m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55a51cb492aad5118778e83c200ad339
https://doi.org/10.1145/2463676.2465298
https://doi.org/10.1145/2463676.2465298
Autor:
Kishore Gopalakrishna, Kapil Surlaker, Zhen Zhang, Ramesh Subramonian, Shi Lu, Adam Silberstein, Bob Schulman
Publikováno v:
SoCC
Distributed data systems systems are used in a variety of settings like online serving, offline analytics, data transport, and search, among other use cases. They let organizations scale out their workloads using cost-effective commodity hardware, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec08bcd0a2b124eeaf678cdef5e9d27c
https://doi.org/10.1145/2391229.2391248
https://doi.org/10.1145/2391229.2391248
Autor:
Thomas J. Quiggle, Bhaskar Ghosh, Brendan Harris, Aditya A. Auradkar, Joel Koshy, Cuong Tran, Bob Schulman, Shi Lu, Lei Gao, Lin Qiao, Dave De Maagd, Roshan Rajesh Sumbaly, Chavdar Botev, Kishore Gopalakrishna, Igor Perisic, Alex Feinberg, Kapil Surlaker, Zach White, David Zhang, Jason Zhang, Abraham Sebastian, Phanindra Ganti, Chinmay Soman, Sunil Nagaraj, Oliver Nicholas Seeliger, Neha Narkhede, Sasha Pachev, Jun Rao, BBoris Shkolnik, Kevin Krawez, Sajid Topiwala, Shirshanka Das, Balaji Varadarajan, Adam Silberstein, Jay Kreps, Jemiah Westerman
Publikováno v:
ICDE
Linked In is among the largest social networking sites in the world. As the company has grown, our core data sets and request processing requirements have grown as well. In this paper, we describe a few selected data infrastructure projects at Linked
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e030e18dd049b91eb9e691b810aa451
https://doi.org/10.1109/icde.2012.147
https://doi.org/10.1109/icde.2012.147