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PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network Applications. (arXiv:2201.07916v1 [cs.LG])
Jan. 21, 2022, 2:10 a.m. | Drew Penney, Bin Li, Jaroslaw Sydir, Charlie Tai, Eoin Walsh, Thomas Long, Stefan Lee, Lizhong Chen
cs.LG updates on arXiv.org arxiv.org
A growing number of service providers are exploring methods to improve server
utilization, reduce power consumption, and reduce total cost of ownership by
co-scheduling high-priority latency-critical workloads with best-effort
workloads. This practice requires strict resource allocation between workloads
to reduce resource contention and maintain Quality of Service (QoS) guarantees.
Prior resource allocation works have been shown to improve server utilization
under ideal circumstances, yet often compromise QoS guarantees or fail to find
valid resource allocations in more dynamic operating environments. …
More from arxiv.org / cs.LG updates on arXiv.org
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