19 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.DB2018★ 1 cited
Chasing Similarity: Distribution-aware Aggregation Scheduling (Extended Version)
Feilong Liu, Ario Salmasi, Spyros Blanas +1
Parallel aggregation is a ubiquitous operation in data analytics that is expressed as GROUP BY in SQL, reduce in Hadoop, or segment in TensorFlow. Parallel aggregation starts with…
cs.DB2018★ 1 cited
To Ship or Not to (Function) Ship (Extended version)
Feilong Liu, Niranjan Kamat, Spyros Blanas +1
Sampling is often used to reduce query latency for interactive big data analytics. The established parallel data processing paradigm relies on function shipping, where a coordinato…
cs.DB2015★ 19 cited
Forecasting the cost of processing multi-join queries via hashing for main-memory databases (Extended version)
Feilong Liu, Spyros Blanas
Database management systems (DBMSs) carefully optimize complex multi-join queries to avoid expensive disk I/O. As servers today feature tens or hundreds of gigabytes of RAM, a sign…