26 citations · 61 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
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…
The Lowell Database Research Self Assessment
Serge Abiteboul, Rakesh Agrawal, Phil Bernstein +26
A group of senior database researchers gathers every few years to assess the state of database research and to point out problem areas that deserve additional focus. This report su…
The Asilomar Report on Database Research
Phil Bernstein, Michael Brodie, Stefano Ceri +13
The database research community is rightly proud of success in basic research, and its remarkable record of technology transfer. Now the field needs to radically broaden its resear…