Technical Reports - Michael Franklin
Shark: SQL and Rich Analytics at Scale (EECS-2012-214)
Reynold Shi Xin, Joshua Rosen, Matei Zaharia, Michael Franklin, Scott Shenker and Ion Stoica
Probabilistically Bounded Staleness for Practical Partial Quorums (EECS-2012-4)
Peter Bailis, Shivaram Venkataraman, Joseph M. Hellerstein, Michael Franklin and Ion Stoica
Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing (EECS-2011-82)
Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael Franklin, Scott Shenker and Ion Stoica
Spark: Cluster Computing with Working Sets (EECS-2010-53)
Matei Zaharia, N. M. Mosharaf Chowdhury, Michael Franklin, Scott Shenker and Ion Stoica
PIQL: A Performance Insightful Query Language For Interactive Applications (EECS-2010-8)
Michael Armbrust, Nick Lanham, Stephen Tu, Armando Fox, Michael Franklin and David A. Patterson
Declarative Information Extraction in a Probabilistic Database System (EECS-2009-120)
Daisy Zhe Wang, Eirinaios Chrysovalantis Michelakis, Michael Franklin, Joseph M. Hellerstein and Minos Garofalakis
Discovering Functional Dependencies in Pay-As-You-Go Data Integration Systems (EECS-2009-119)
Daisy Zhe Wang, Michael Franklin, Luna Dong, Anish Das Sarma and Alon Halevy
Soliciting User Feedback in a Dataspace System (EECS-2007-38)
Shawn Jeffery, Michael Franklin and Alon Halevy
Adaptive Cleaning for RFID Data Streams (EECS-2006-29)
Shawn Ryan Jeffery, Minos Garofalakis and Michael Franklin
Adaptive Execution of Variable-Accuracy Functions (EECS-2006-28)
Matthew Michael Denny and Michael Franklin
Estimating Data Stream Quality for Object-Detection Applications (EECS-2005-23)
Anish Das Sarma, Shawn Ryan Jeffery, Michael Franklin and Jennifer Widom
Shared Hierarchical Aggregation for Monitoring Distributed Streams (CSD-05-1381)
Sailesh Krishnamurthy and Michael J. Franklin
A Pipelined Framework for Online Cleaning of Sensor Data Streams (CSD-05-1413)
Shawn R. Jeffery, Gustavo Alonso, Michael J. Franklin, Wei Hong and Jennifer Widom
