59 citations · 89 across the 3 of their papers we have counts for
4 papers
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong +3
Blockchain-enabled Federated Learning (BFL) enables mobile devices to collaboratively train neural network models required by a Machine Learning Model Owner (MLMO) while keeping da…
Impact of etcd Deployment on Kubernetes, Istio, and Application Performance
Lars Larsson, William Tärneberg, Cristian Klein +2
By intrinsic necessity, Kubernetes is a complex platform. Its complexity makes conducting performance analysis in that environment fraught with difficulties and emergent behavior.…
Power-Performance Tradeoffs in Data Center Servers: DVFS, CPU pinning, Horizontal, and Vertical Scaling
Jakub Krzywda, Ahmed Ali-Eldin, Trevor E. Carlson +2
Dynamic Voltage and Frequency Scaling (DVFS), CPU pinning, horizontal, and vertical scaling, are four techniques that have been proposed as actuators to control the performance and…
A Survey on Modeling Energy Consumption of Cloud Applications: Deconstruction, State of the Art, and Trade-off Debates
Zheng Li, Selome Tesfatsion, Saeed Bastani +4
Given the complexity and heterogeneity in Cloud computing scenarios, the modeling approach has widely been employed to investigate and analyze the energy consumption of Cloud appli…