85 citations · 181 across the 7 of their papers we have counts for
7 papers
Clipper: A Low-Latency Online Prediction Serving System
Daniel Crankshaw, Xin Wang, Giulio Zhou +3
Machine learning is being deployed in a growing number of applications which demand real-time, accurate, and robust predictions under heavy query load. However, most machine learni…
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics
Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan +2
Modern advanced analytics applications make use of machine learning techniques and contain multiple steps of domain-specific and general-purpose processing with high resource requi…
The Expected Optimal Labeling Order Problem for Crowdsourced Joins and Entity Resolution
Jiannan Wang, Guoliang Li, Tim Kraska +2
In the SIGMOD 2013 conference, we published a paper extending our earlier work on crowdsourced entity resolution to improve crowdsourced join processing by exploiting transitive re…
Leveraging Transitive Relations for Crowdsourced Joins
Jiannan Wang, Guoliang Li, Tim Kraska +2
The development of crowdsourced query processing systems has recently attracted a significant attention in the database community. A variety of crowdsourced queries have been inves…
The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox
Daniel Crankshaw, Peter Bailis, Joseph E. Gonzalez +5
To support complex data-intensive applications such as personalized recommendations, targeted advertising, and intelligent services, the data management community has focused heavi…
Probabilistically Bounded Staleness for Practical Partial Quorums
Peter Bailis, Shivaram Venkataraman, Michael J. Franklin +2
Data store replication results in a fundamental trade-off between operation latency and data consistency. In this paper, we examine this trade-off in the context of quorum-replicat…