High Availability Framework and Query Fault Tolerance for Hybrid Distributed Database Systems-Reference-Cited by-同舟云学术

High Availability Framework and Query Fault Tolerance for Hybrid Distributed Database Systems

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Pasupuleti Krishna Kantikiran¹,Klots Boris¹,Nagarajan Vijayakrishnan¹,Kandukuri Ananthakiran²,Agarwal Nipun¹

Affiliation:

1. Oracle America Inc.,, Redwood City, CA, USA

2. Oracle Corporation, Zurich, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557086

Reference32 articles.

1. C. Balkesen , N. Kunal , G. Giannikis , P. Fender , S. Sundara , F. Schmidt , J. Wen , S. Agrawal , A. Raghavan , V. Varadarajan , A. Viswanathan , B. Chandrasekaran , S. Idicula , N. Agarwal , and E. Sedlar . 2018. RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt . In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18) . 1407--1419. C.Balkesen, N. Kunal, G. Giannikis, P. Fender, S. Sundara, F. Schmidt, J. Wen, S. Agrawal, A. Raghavan, V. Varadarajan, A. Viswanathan, B. Chandrasekaran, S. Idicula, N. Agarwal, and E. Sedlar. 2018. RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18). 1407--1419.

2. S.R Agarwal S.Idicula A. Raghavan E.Vlachos V.Govindaraju V.Varadarajan C. Balkesen G. Giannikis C. Roth N. Agarwal and E. Sedlar 2017. A many-core Architecture for In-memory Data Processing. In MICRO (MICRO '17). 245--258. S.R Agarwal S.Idicula A. Raghavan E.Vlachos V.Govindaraju V.Varadarajan C. Balkesen G. Giannikis C. Roth N. Agarwal and E. Sedlar 2017. A many-core Architecture for In-memory Data Processing. In MICRO (MICRO '17). 245--258.

3. Amazon dynamoDB

4. Using Paxos to build a scalable, consistent, and highly available datastore

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