Ph.D. Dissertations - Joseph M. Hellerstein
The Management of Context in the Machine Learning Lifecycle
Rolando Garcia [2024]
Understanding and Exploring Serverless Cloud Computing
Johann Schleier-Smith [2022]
Compartmentalizing State Machine Replication
Michael Whittaker [2021]
Interaction History for Building Human-Data Interfaces
Yifan Wu [2021]
The Design of Any-scale Serverless Infrastructure with Rich Consistency Guarantees
Chenggang Wu [2020]
The Design of Stateful Serverless Infastructure
Vikram Sreekanti [2020]
Coordination Avoidance in Distributed Databases
Peter Bailis [2015]
Data-centric Programming for Distributed Systems
Peter Alvaro [2015]
Language Support for Loosely Consistent Distributed Programming
Neil Conway [2014]
Data-driven Techniques for Improving Data Collection in Low-resource Environments
Kuang Chen [2011]
Declarative Systems
Tyson Condie [2011]
Extracting and Querying Probabilistic Information in BayesStore
Daisy Zhe Wang [2011]
Building and Optimizing Declarative Networked Systems
David Chiyuan Chu [2009]
Querying Uncertain Data in Resource Constrained Settings
Alexandra Meliou [2009]
PIER: Internet Scale P2P Query Processing with Distributed Hash Tables
Ryan Jay Huebsch [2008]
Data Triage
Frederick Ralph Reiss [2007]
The Design and Implementation of Declarative Networks
Boon Thau Loo [2006]
Flux: A Mechanism for Building Robust, Scalable Dataflows
Mehul A. Shah [2004]
Handling Estimation Errors in Database Query Processing
Amol V. Deshpande [2004]
Boolean Bounding Predicates for Spatial Access Methods
Megan C. Thomas [2003]
Interactive Query Processing
Vijayshankar Raman [2001]
Access Methods for Next-Generation Database Systems
Marcel Kornacker [2000]
Improving File System Performance with Adaptive Methods
Jeanna N. Matthews [1999]