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SAGE: Percipient Storage for Exascale Data Centric Computing., , , , , , , , , and . CoRR, (2018)Linking Resource Usage Anomalies with System Failures from Cluster Log Data., , , , , and . SRDS, page 111-120. IEEE Computer Society, (2013)SAGE: Percipient Storage for Exascale Data Centric Computing., , , , , , , , , and . Parallel Computing, (2019)The SAGE project: a storage centric approach for exascale computing: invited paper., , , , , , , , , and 1 other author(s). CF, page 287-292. ACM, (2018)Insights into the Diagnosis of System Failures from Cluster Message Logs., , , , and . EDCC, page 225-232. IEEE, (2015)The SAGE Project: a Storage Centric Approach for Exascale Computing., , , , , , , , , and 1 other author(s). CoRR, (2018)Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks., , , , , and . HPCC/SmartCity/DSS, page 921-927. IEEE, (2018)Data Storage in Cloud Based Real-Time Environments., , , , and . Achieving Real-Time in Distributed Computing, IGI Global, (2012)Exploring Scientific Application Performance Using Large Scale Object Storage., , , , and . ISC Workshops, volume 11203 of Lecture Notes in Computer Science, page 117-130. Springer, (2018)MPI windows on storage for HPC applications., , , , , , and . EuroMPI/USA, page 15:1-15:11. ACM, (2017)