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High-Performance Hybrid Key-Value Store on Modern Clusters with RDMA Interconnects and SSDs: Non-blocking Extensions, Designs, and Benefits., , , , и . IPDPS, стр. 393-402. IEEE Computer Society, (2016)MR-Advisor: A Comprehensive Tuning Tool for Advising HPC Users to Accelerate MapReduce Applications on Supercomputers., , , , и . SBAC-PAD, стр. 198-205. IEEE Computer Society, (2016)A Plugin-Based Approach to Exploit RDMA Benefits for Apache and Enterprise HDFS., , , , , и . BPOE, том 9495 из Lecture Notes in Computer Science, стр. 119-132. Springer, (2015)Accelerating Spark with RDMA for Big Data Processing: Early Experiences., , , , и . Hot Interconnects, стр. 9-16. IEEE Computer Society, (2014)SCOR-KV: SIMD-Aware Client-Centric and Optimistic RDMA-Based Key-Value Store for Emerging CPU Architectures., , и . HiPC, стр. 257-266. IEEE, (2019)Accelerating I/O Performance of Big Data Analytics on HPC Clusters through RDMA-Based Key-Value Store., , , , и . ICPP, стр. 280-289. IEEE Computer Society, (2015)SimdHT-Bench: Characterizing SIMD-Aware Hash Table Designs on Emerging CPU Architectures., , и . IISWC, стр. 178-188. IEEE, (2019)Benchmarking key-value stores on high-performance storage and interconnects for web-scale workloads., , , , и . IEEE BigData, стр. 539-544. IEEE Computer Society, (2015)High-Performance and Resilient Key-Value Store with Online Erasure Coding for Big Data Workloads., , и . ICDCS, стр. 527-537. IEEE Computer Society, (2017)Triple-H: A Hybrid Approach to Accelerate HDFS on HPC Clusters with Heterogeneous Storage Architecture., , , , и . CCGRID, стр. 101-110. IEEE Computer Society, (2015)