26 citations · 61 across the 8 of their papers we have counts for
8 papers
DBOS: A Proposal for a Data-Centric Operating System
Michael Cafarella, David DeWitt, Vijay Gadepally +5
Current operating systems are complex systems that were designed before today's computing environments. This makes it difficult for them to meet the scalability, heterogeneity, ava…
Starling: A Scalable Query Engine on Cloud Function Services
Matthew Perron, Raul Castro Fernandez, David DeWitt +1
Much like on-premises systems, the natural choice for running database analytics workloads in the cloud is to provision a cluster of nodes to run a database instance. However, anal…
RoadTracer: Automatic Extraction of Road Networks from Aerial Images
Favyen Bastani, Songtao He, Sofiane Abbar +5
Mapping road networks is currently both expensive and labor-intensive. High-resolution aerial imagery provides a promising avenue to automatically infer a road network. Prior work…
Can the Elephants Handle the NoSQL Onslaught?
Avrilia Floratou, Nikhil Teletia, David J. Dewitt +2
In this new era of "big data", traditional DBMSs are under attack from two sides. At one end of the spectrum, the use of document store NoSQL systems (e.g. MongoDB) threatens to mo…
Turning Cluster Management into Data Management: A System Overview
Eric Robinson, David DeWitt
This paper introduces the CondorJ2 cluster management system. Traditionally, cluster management systems such as Condor employ a process-oriented approach with little or no use of m…
Scientific Data Management in the Coming Decade
Jim Gray, David T. Liu, Maria Nieto-Santisteban +3
This is a thought piece on data-intensive science requirements for databases and science centers. It argues that peta-scale datasets will be housed by science centers that provide…