An energy-aware approach to design self-adaptive ai-based applications on the edge
The advent of edge devices dedicated to machine learning tasks enabled the execution of AI-
based applications that efficiently process and classify the data acquired by the resource …
based applications that efficiently process and classify the data acquired by the resource …
A machine learning based context-aware prediction framework for edge computing environments
K Djemame, A Aljulayfi - Proceedings of the 12th …, 2021 - eprints.whiterose.ac.uk
A Context-aware Prediction Framework (CAPF) can be provided through a Self-adaptive
System (SAS) resource manager to support the autoscaling decision in Edge Computing …
System (SAS) resource manager to support the autoscaling decision in Edge Computing …
Adapt and Automate: Efficiently Monitoring in the Cloud Continuum
A Tundo - 2024 - boa.unimib.it
Monitoring systems are increasingly being deployed throughout the cloud continuum, a
distributed and heterogeneous environment with varying software and hardware stacks …
distributed and heterogeneous environment with varying software and hardware stacks …
[图书][B] Cloud Computing and Services Science: 11th International Conference, CLOSER 2021, Virtual Event, April 28–30, 2021, Revised Selected Papers
The present book includes extended and revised versions of a set of selected papers from
the 11th International Conference on cloud computing and services science (CLOSER …
the 11th International Conference on cloud computing and services science (CLOSER …
Quality of Service Support Through a Self-adaptive System in Edge Computing Environments
AF Aljulayfi, K Djemame - … Conference on Cloud Computing and Services …, 2021 - Springer
Edge Computing (EC) has gained a lot of attention from both industry and academia as it is
an essential paradigm that addresses the Quality of Service (QoS) of Internet of Things (IoT) …
an essential paradigm that addresses the Quality of Service (QoS) of Internet of Things (IoT) …