Nowadays, service providers' (SPs) need for efficient resource utilization solutions is more demanding than ever. The optimal use of the physical and virtual infrastructures guarantees that the waste of resources due to overdesign is minimized while the provided services enjoy the required quality of service levels. However, the prediction of the exact amount of the required resources per service at any time of its lifecycle is not an easy process. For this purpose, we propose a solution that handles the infrastructure in a holistic manner introducing a novel architecture that exploits the monitoring data from three layers (hardware, virtualization, and application) and uses them to train machine learning models, which can accurately p...
Resource prediction algorithms have been recently proposed in Network Function Virtualization archit...
Machine learning inference is increasingly being executed locally on mobile and embedded platforms, ...
Resource prediction algorithms have been recently proposed in Network Function Virtualization archit...
Nowadays, Service Providers’ (SPs) need for efficient resource utilization solutions is more demandi...
The application of artificial intelligence enhances the ability of sensor and networking technologie...
A common way to maintain the quality of service on systems that are growing rapidly is by increasing...
Abstract Automated resource provisioning techniques enable the implementation of elastic services, b...
Traditional resource management techniques that rely on simple heuristics often fail to achieve pred...
To serve machine learning requests with trained models plays an increasingly important role with the...
With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and ...
National audienceThe emergence of Machine Learning (ML) has increased exponentially in numerous appl...
Network virtualisation is considerably gaining attention as a solution to ossification of the Intern...
Better resource utilization is a continuous demand for smart computing paradigm. Fog-to-Cloud (F2C) ...
Computing has undergone a significant transformation over the past two decades, shifting from a mach...
Largescale machine learning frameworks can accelerate training of a neural network by per forming ...
Resource prediction algorithms have been recently proposed in Network Function Virtualization archit...
Machine learning inference is increasingly being executed locally on mobile and embedded platforms, ...
Resource prediction algorithms have been recently proposed in Network Function Virtualization archit...
Nowadays, Service Providers’ (SPs) need for efficient resource utilization solutions is more demandi...
The application of artificial intelligence enhances the ability of sensor and networking technologie...
A common way to maintain the quality of service on systems that are growing rapidly is by increasing...
Abstract Automated resource provisioning techniques enable the implementation of elastic services, b...
Traditional resource management techniques that rely on simple heuristics often fail to achieve pred...
To serve machine learning requests with trained models plays an increasingly important role with the...
With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and ...
National audienceThe emergence of Machine Learning (ML) has increased exponentially in numerous appl...
Network virtualisation is considerably gaining attention as a solution to ossification of the Intern...
Better resource utilization is a continuous demand for smart computing paradigm. Fog-to-Cloud (F2C) ...
Computing has undergone a significant transformation over the past two decades, shifting from a mach...
Largescale machine learning frameworks can accelerate training of a neural network by per forming ...
Resource prediction algorithms have been recently proposed in Network Function Virtualization archit...
Machine learning inference is increasingly being executed locally on mobile and embedded platforms, ...
Resource prediction algorithms have been recently proposed in Network Function Virtualization archit...