Bandwidth demand compression is considered when tasks are processed on different server levels. Users are allowed to have two different bandwidth resource ...
By introducing bandwidth demand compression, DRF-CE allows users to have two different bandwidth resource demands. DRF-CE satisfies envy-freeness, Pareto ...
By introducing bandwidth demand compression, DRF-CE allows users to have two different bandwidth resource demands. DRF-CE satisfies envy-freeness, Pareto ...
Feb 15, 2023 · Furthermore, the simulation results show that considering bandwidth demand compression can improve user efficiency by approximately 40% and the ...
Nov 26, 2024 · In this section, we describe the problem of multi-resource allocation in a cloud-edge collaborative computing system with bandwidth demand ...
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Semantic Scholar extracted view of "Multi-resource fair allocation with bandwidth requirement compression in the cloud-edge system" by Xingxi Li et al.
Resource fair allocation is a challenging problem in heterogeneous cloud computing systems, both in real-life problems and for scientific research purposes.
Meskar E, Liang B. Fair multi-resource allocation with external resource for mobile edge computing. In: IEEE conference on computer communications workshops.
Nov 28, 2024 · The problem studied in this paper is the maximin share fair allocation of multiple resources in a cloud-edge collaborative computing system ...
Sep 6, 2023 · We propose a mechanism, task share fairness in cloud-edge collaborative computing systems (TSF-CE), to realize fair multi-resource allocations ...
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