Handling Highly Contended OLTP Workloads Using Fast Dynamic Partitioning-Reference-Cited by-同舟云学术

Handling Highly Contended OLTP Workloads Using Fast Dynamic Partitioning

Published:2020-06-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
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Author:

Prasaad Guna¹,Cheung Alvin²,Suciu Dan¹

Affiliation:

1. University of Washington, Seattle, WA, USA

2. University of California, Berkeley, Berkeley, CA, USA

Funder

U.S. Department of Energy

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3318464.3389764

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4. Benchmarking cloud serving systems with YCSB

5. T. P. P. Council. 2018. TPCC-C Standards Specification. http://www.tpc.org/tpc_documents_current_versions/pdf/tpc-c_v5.11.0.pdf. [Online; accessed 19-Dec-2017]. T. P. P. Council. 2018. TPCC-C Standards Specification. http://www.tpc.org/tpc_documents_current_versions/pdf/tpc-c_v5.11.0.pdf. [Online; accessed 19-Dec-2017].

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