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[HTML][HTML] Optimized container scheduling for data-intensive serverless edge computing

T Rausch, A Rashed, S Dustdar - Future Generation Computer Systems, 2021 - Elsevier
Operating data-intensive applications on edge systems is challenging, due to the extreme
workload and device heterogeneity, as well as the geographic dispersion of compute and …
被引用次数：152 相关文章

[引用][C] Optimized container scheduling for data-intensive serverless edge computing

T Rausch, A Rashed, S Dustdar - Future Generation Computer Systems, 2021 - cir.nii.ac.jp
Optimized container scheduling for data-intensive serverless edge computing | CiNii Research
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Optimized container scheduling for data-intensive serverless edge computing

T Rausch, A Rashed, S Dustdar - Future Generation Computer …, 2021 - repositum.tuwien.at
Operating data-intensive applications on edge systems is challenging, due to the extreme
workload and device heterogeneity, as well as the geographic dispersion of compute and …
[PDF] researchgate.net

[PDF][PDF] Optimized Container Scheduling for Data-Intensive Serverless Edge Computing

T Rauscha, A Rasheda, S Dustdara - researchgate.net
Operating data-intensive applications on edge systems is challenging, due to the extreme
workload and device heterogeneity, as well as the geographic dispersion of compute and …
[PDF] tuwien.ac.at

[PDF][PDF] Optimized container scheduling for data-intensive serverless edge computing

T Rausch, A Rashed, S Dustdar - Future Generation Computer …, 2021 - dsg.tuwien.ac.at
abstract Operating data-intensive applications on edge systems is challenging, due to the
extreme workload and device heterogeneity, as well as the geographic dispersion of …
[PDF] tuwien.ac.at

[PDF][PDF] Optimized Container Scheduling for Data-Intensive Serverless Edge Computing

T Rauscha, A Rasheda, S Dustdara - dsg.tuwien.ac.at
Operating data-intensive applications on edge systems is challenging, due to the extreme
workload and device heterogeneity, as well as the geographic dispersion of compute and …