Erfan Zamanian

Affiliations:
  • Brown University, Providence, RI, USA


According to our database1, Erfan Zamanian authored at least 15 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2021
Scalable Distributed Transaction Processing on Modern RDMA-enabled Networks.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
Rethinking Database High Availability with RDMA Networks.
Proc. VLDB Endow., 2019

2018
Chiller: Contention-centric Transaction Execution and Data Partitioning for Fast Networks.
CoRR, 2018

2017
The End of a Myth: Distributed Transaction Can Scale.
Proc. VLDB Endow., 2017

2016
The End of Slow Networks: It's Time for a Redesign.
Proc. VLDB Endow., 2016

The End of a Myth: Distributed Transactions Can Scale.
CoRR, 2016

2015
Using RDMA for Lock Management.
CoRR, 2015

The End of Slow Networks: It's Time for a Redesign.
CoRR, 2015

Locality-aware Partitioning in Parallel Database Systems.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Cost-based Fault-tolerance for Parallel Data Processing.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Spotgres - parallel data analytics on Spot Instances.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

Crowd Access Path Optimization: Diversity Matters.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

2014
DoomDB: kill the query.
Proceedings of the International Conference on Management of Data, 2014

XDB - A Novel Database Architecture for Data Analytics as a Service.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014


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