An end-to-end framework for benchmarking edge-cloud cluster management techniques

P Raith, T Rausch, P Prüller… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
This paper presents a framework for defining, performing, and analyzing distributed load
testing experiments for benchmarking edge-cloud clusters. This end-to-end workflow helps …

Time-constrained service handoff for mobile edge computing in 5g

N Sharghivand, L Mashayekhy, W Ma… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Many mobile device applications require low end-to-end latency to edge computing
infrastructure when offloading their computation tasks in order to achieve real-time …

Mobility-aware serverless function adaptations across the edge-cloud continuum

P Raith, T Rausch, S Dustdar, F Rossi… - 2022 IEEE/ACM 15th …, 2022 - ieeexplore.ieee.org
Serverless functions have emerged as a useful abstraction to manage the complexity of
distributed and heterogeneous edge-cloud infrastructure. Current cloud-centric orchestration …

Towards a Benchmark for Fog Data Processing

T Pfandzelter, D Bermbach - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Fog data processing systems provide key abstractions to manage data and event
processing in the geo-distributed and heterogeneous fog environment. The lack of …

[PDF][PDF] Container scheduling on heterogeneous clusters using machine learning-based workload characterization

PA Raith - 2021 - netidee.at
Edge Intelligence is a paradigm that promises to bring highly-responsive AI applications to
the end users. Edge computing is the main enabler paradigm for this scenario, where …

Técnicas energeticamente eficientes para o posicionamento de aplicações em computação na borda

RM Rios - 2022 - meriva.pucrs.br
O setor de Tecnologia da Informação e Comunicação (TIC) tornou-se relevante na
economia global e a tendência é de que ele continue crescendo nos próximos anos. Esse …