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Database System Concepts, 6 th Ed. ©Silberschatz, Korth and Sudarshan See for conditions on re-use Chapter 16: Recovery
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Spark In-Memory Cluster Computing for Iterative and Interactive Applications Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy
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Spark Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing Presentation by Antonio Lupher [Thanks to Matei for
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MPICH-V: Fault Tolerant MPI Rachit Chawla. Outline Introduction Objectives Architecture Performance Conclusion
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CS 717: Programming for Fault-tolerance Keshav Pingali Cornell University
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