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Predicting the Performance Impact of Increasing Memory Bandwidth for Scientific Workflows.

, , , , , , , and . SBAC-PAD, page 242-249. IEEE, (2018)

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Towards Bandwidth Optimization in Fog Computing using FACE Framework., , , , , , , , and . CLOSER, page 463-470. SciTePress, (2017)Cloud Distributed Processing Using Trade Wind., , , , , , , , and . BigData Congress, page 437-438. IEEE Computer Society, (2013)Securing AI Inference in the Cloud: Is CPU-GPU Confidential Computing Ready?, , , , , and . CLOUD, page 164-175. IEEE, (2024)Fog computing: Data analytics and cloud distributed processing on the network edges., , , , , , , , and . SCCC, page 1-9. IEEE, (2016)Predicting the Performance Impact of Increasing Memory Bandwidth for Scientific Workflows., , , , , , , and . SBAC-PAD, page 242-249. IEEE, (2018)Distributed Processing from Large Scale Sensor Network Using Hadoop., , , , , , , , and . BigData Congress, page 417-418. IEEE Computer Society, (2013)Inclusion of security requirements in SLA lifecycle management for cloud computing., , , , , , and . ESPRE, page 7-12. IEEE Computer Society, (2015)MPSF: um arcabouço para escalonamento em computação em nuvem para execução distribuída de fluxos de trabalho (MPSF: cloud scheduling framework for distributed workflow execution).. University of São Paulo, Brazil, (2016)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-03032017-083914).Jitter-Trace: a low-overhead OS noise tracing tool based on Linux Perf., , and . ROSS@HPDC, page 2:1-2:8. ACM, (2017)Transparent I/O-Aware GPU Virtualization for Efficient Resource Consolidation., and . IPDPS, page 131-140. IEEE, (2021)