19 citations · 41 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
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…
Approximate Distributed Joins in Apache Spark
Do Le Quoc, Istemi Ekin Akkus, Pramod Bhatotia +4
The join operation is a fundamental building block of parallel data processing. Unfortunately, it is very resource-intensive to compute an equi-join across massive datasets. The ap…