Improving scalability of database systems by reshaping user parallel I/O-Reference-Cited by-同舟云学术

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Improving scalability of database systems by reshaping user parallel I/O

Published:2022-03-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Seventeenth European Conference on Computer Systems
language:
Short-container-title:

Author:

Li Ning¹,Jiang Hong¹,Che Hao¹,Wang Zhijun¹,Nguyen Minh Q.²

Affiliation:

1. University of Texas at Arlington

2. University of Transport, Ho Chi Minh City, Vietnam

Funder

US National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3492321.3519570

Reference69 articles.

1. 2014. Database/kernel community topic at collaboration summit 2014. http://www.postgresql.org/message-id/20140310101537.GC10663@suse.de. 2014. Database/kernel community topic at collaboration summit 2014. http://www.postgresql.org/message-id/20140310101537.GC10663@suse.de.

2. 2015. Cgroups v2. https://www.kernel.org/doc/Documentation/cgroup-v2.txt. 2015. Cgroups v2. https://www.kernel.org/doc/Documentation/cgroup-v2.txt.

3. 2015. Control Group v2. https://www.kernel.org/doc/html/latest/admin-guide/cgroup-v2.html. 2015. Control Group v2. https://www.kernel.org/doc/html/latest/admin-guide/cgroup-v2.html.

4. 2016. Janus codebase. htps://github.com/NYU-NEWS/janus. 2016. Janus codebase. htps://github.com/NYU-NEWS/janus.

5. 2019. The system call intercepting library . https://github.com/pmem/syscall_intercept. 2019. The system call intercepting library . https://github.com/pmem/syscall_intercept.

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