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Performance Evaluation of Microservices Architectures Using Containers.

, , , , , and . NCA, page 27-34. IEEE Computer Society, (2015)

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Multi-constraint scheduling of MapReduce workloads.. Polytechnic University of Catalonia, Spain, (2014)Performance Evaluation of Data-Centric Workloads in Serverless Environments., , , , and . CLOUD, page 491-496. IEEE, (2021)Adaptive MapReduce Scheduling in Shared Environments., , , , , and . CCGRID, page 61-70. IEEE Computer Society, (2014)Performance-driven task co-scheduling for MapReduce environments., , , , and . NOMS, page 373-380. IEEE, (2010)Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory., , and . HPCC/SmartCity/DSS, page 434-441. IEEE Computer Society, (2017)Performance Evaluation of Microservices Architectures Using Containers., , , , , and . NCA, page 27-34. IEEE Computer Society, (2015)Enabling Distributed Key-Value Stores with Low Latency-Impact Snapshot Support., , , , , , and . NCA, page 65-72. IEEE Computer Society, (2013)Topology-aware GPU scheduling for learning workloads in cloud environments., , , , and . SC, page 17. ACM, (2017)Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN., , , , , , , , , and 1 other author(s). CoRR, (2024)Performance Characterization of Spark Workloads on Shared NUMA Systems., , , and . BigDataService, page 41-48. IEEE Computer Society, (2018)