Zihao Chen, Baokun Han, Chen
Xu*, Weining Qian, and Aoying Zhou.
Redundancy Elimination in Distributed Matrix Computation.
SIGMOD 2022.
Zihao Chen, Chen
Xu*, Juan Soto, Volker Markl, Weining Qian, and Aoying Zhou.
Hybrid Evaluation for Distributed Iterative Matrix Computation.
SIGMOD 2021.
Zihao Chen, Zhizhen Xu, Chen
Xu*, Juan Soto, Volker Markl, Weining Qian, and Aoying Zhou.
HyMAC: A Hybrid Matrix Computation System.
PVLDB 2021.
Chen
Xu, Rudi Poepsel Lemaitre, Juan Soto, and Volker Markl.
Fault-Tolerance for Distributed Iterative Dataflows in Action. PVLDB 2018.
Chen
Xu, Markus Holzemer, Manohar Kaul, Juan Soto, and Volker Markl.
On Fault Tolerance for Distributed Iterative Dataflow Processing. IEEE TKDE 2017.
Chen
Xu, Markus Holzemer, Manohar Kaul, and Volker Markl.
Efficient Fault-tolerance for Iterative Graph Processing on Distributed Dataflow Systems.
ICDE 2016.
Sergey Dudoladov, Chen
Xu, Sebastian Schelter, Asterios Katsifodimos, Stephan Ewen, Kostas Tzoumas, and Volker Markl.
Optimistic Recovery for Iterative Dataflows in Action.
SIGMOD 2015.
Chen
Xu, and Aoying Zhou.
Quality-aware Scheduling for Key-value Data Stores. Springer Briefs in Computer Science, Springer 2015.
Chen
Xu, Fan Xia, Mohamed A. Sharaf, Minqi Zhou, and Aoying Zhou.
AQUAS: A Quality-Aware Scheduler for NoSQL Data Stores.
ICDE 2014.
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