Maelstrom: mitigating datacenter-level disasters by draining interdependent traffic safely and efficiently | the morning paper
Simple Testing Can Prevent Most Critical Failures: An Analysis of Production Failures in Distributed Data-Intensive Systems | USENIX
Ding Yuan, Yu Luo, Xin Zhuang, Guilherme Renna Rodrigues, Xu Zhao, Yongle Zhang, Pranay U. Jain, and Michael Stumm, University of Toronto Large, production quality distributed systems still fail periodically, and do so sometimes catastrophically, where most or all users experience an outage or data loss. We present the result of a comprehensive study investigating 198 randomly selected, user-repor
OSDI '12 Program
David Haussler, Investigator, Howard Hughes Medical Institute; Director, Center for Biomolecular Science and Engineering, University of California, Santa Cruz Cancer is a complex condition—patients present with thousands of subtypes involving different combinations of DNA mutations. Understanding cancer will require aggregating DNA data from many thousands of cancer genomes, facilitating the stati
Spanner: Google’s Globally-Distributed Database | USENIX
James C. Corbett, Jeffrey Dean, Michael Epstein, Andrew Fikes, Christopher Frost, JJ Furman, Sanjay Ghemawat, Andrey Gubarev, Christopher Heiser, Peter Hochschild, Wilson Hsieh, Sebastian Kanthak, Eugene Kogan, Hongyi Li, Alexander Lloyd, Sergey Melnik, David Mwaura, David Nagle, Sean Quinlan, Rajesh Rao, Lindsay Rolig, Yasushi Saito, Michal Szymaniak, Christopher Taylor, Ruth Wang, and Dale Woodf
Spanner: Google's Globally-Distributed Database
Spanner is Google's scalable, multi-version, globally-distributed, and synchronously-replicated database. It is the first system to distribute data at global scale and support externally-consistent distributed transactions. This paper describes how Spanner is structured, its feature set, the rationale underlying various design decisions, and a novel time API that exposes clock uncertainty. This AP
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Onix: a distributed control platform for large-scale production networks
http://opera.ucsd.edu/paper/osdi16-pcheck.pdf
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PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs | USENIX
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