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Latency prediction in 5G for control with deadtime compensation.

, , and . IoT-Fog@IoTDI, page 51-55. ACM, (2019)

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Latency prediction in 5G for control with deadtime compensation., , and . IoT-Fog@IoTDI, page 51-55. ACM, (2019)Dynamical Modeling of Cloud Applications for Runtime Performance Management.. Lund University, Sweden, (2022)base-search.net (ftulundlup:oai:lup.lub.lu.se:0aafb37f-480a-4809-96f4-2499e3bc3f0c).On Innovation-Based Triggering for Event-Based Nonlinear State Estimation Using the Particle Filter., and . ECC, page 1401-1408. IEEE, (2020)Improved event-based particle filtering in resource-constrained remote state estimation., and . CoRR, (2022)Modeling of Request Cloning in Cloud Server Systems using Processor Sharing., , , and . ICPE, page 24-35. ACM, (2020)Towards Performance Modeling of Speculative Execution for Cloud Applications., , , and . ICPE Companion, page 17-19. ACM, (2020)FedApp: a Research Sandbox for Application Orchestration in Federated Clouds using OpenStack., , , , and . CoRR, (2021)Distributed online extraction of a fluid model for microservice applications using local tracing data., and . CLOUD, page 179-190. IEEE, (2022)Event-Based State Estimation Using the Auxiliary Particle Filter., and . ECC, page 1854-1860. IEEE, (2019)Automatic Differentiation over Fluid Models for Holistic Load Balancing., , and . ACSOS-C, page 13-18. IEEE, (2022)