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 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks.
SIGMOD Rec., 2021

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

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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