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Automated Debugging in Data-intensive Scalable Computing
Developing Big Data Analytics workloads often involves trial and error debugging, due to the unclean nature of datasets or wrong …
Muhammad Ali Gulzar, Matteo Interlandi, Xueyuan Michael Han-Vanbastelaer, Mingda Li, Tyson Condie, Miryung Kim
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Automated Debugging in Data-intensive Scalable Computing
Practical Whole-System Provenance Capture
Data provenance describes how data came to be in its present form. It includes data sources and the transformations that have been …
Thomas Pasquier, Xueyuan Michael Han-Vanbastelaer, Mark Goldstein, Thomas Moyer, David Eyers, Margo Seltzer, Jean Bacon
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Practical Whole-System Provenance Capture
FRAPpuccino: Fault-detection through Runtime Analysis of Provenance
We present FRAPpuccino (or FRAP), a provenance-based fault detection mechanism for Platform as a Service (PaaS) users, who run many …
Xueyuan Michael Han-Vanbastelaer, Thomas Pasquier, Tanvi Ranjan, Mark Goldstein, Margo Seltzer
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FRAPpuccino: Fault-detection through Runtime Analysis of Provenance
Interactive Debugging for Big Data Analytics
An abundance of data in many disciplines has accelerated the adoption of distributed technologies such as Hadoop and Spark, which …
Muhammad Ali Gulzar, Xueyuan Michael Han-Vanbastelaer, Matteo Interlandi, Shaghayegh Mardani, Sai Deep Tetali, Tyson Condie, Todd Millstein, Miryung Kim
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