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Titlebook: ComputerPerformance Engineering; 18th European Worksh Katja Gilly,Nigel Thomas Conference proceedings 2023 The Editor(s) (if applicable) an

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11#
發(fā)表于 2025-3-23 13:24:22 | 只看該作者
https://doi.org/10.1007/978-3-531-90887-8to compute the equilibrium threshold strategy of strategic customers, and calculate performance measures of the system in equilibrium. Finally, we consider optimal system design through several numerical examples, focusing on maximizing social welfare.
12#
發(fā)表于 2025-3-23 17:29:51 | 只看該作者
https://doi.org/10.1007/978-3-531-90887-8r both Markovian and non-Markovian assumptions. Numerical experiments illustrate the conditions where checkpoints are useful and where they are not, and in the former case, quantify the achievable benefits.
13#
發(fā)表于 2025-3-23 20:23:08 | 只看該作者
14#
發(fā)表于 2025-3-23 23:53:59 | 只看該作者
15#
發(fā)表于 2025-3-24 04:19:48 | 只看該作者
16#
發(fā)表于 2025-3-24 07:19:03 | 只看該作者
17#
發(fā)表于 2025-3-24 11:04:12 | 只看該作者
18#
發(fā)表于 2025-3-24 16:54:06 | 只看該作者
Analysis of?Reinforcement Learning for?Determining Task Replication in?Workflowsditional workload on the system when replicas are not beneficial. We show, through simulation, that we can save 34% of the energy consumption using RL compared to a fixed number of replicas with only a 4% decrease in workflows achieving a pre-defined overhead bound.
19#
發(fā)表于 2025-3-24 19:46:02 | 只看該作者
20#
發(fā)表于 2025-3-24 23:10:51 | 只看該作者
Edge Performance Analysis Challenges in?Mobile Simulation Scenariosy available in research centres. This paper deals with a simulation framework developed for analysing MEC resource allocation algorithms performance covering the access network, edge and cloud infrastructure and the challenges we found during the process.
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