LAGO P.

This paper presents an innovative prediction method for key performance indexes with multiple seasonal profiles. The proposed method, called Multiplicative Multi-Seasonal Model (MSMM) relies on a time series decomposition including multiple multiplicative seasonal profiles and a trend component. The method and its underlying model have been...

In order to overcome the cloud service performance limits, the INPUT Project aims to go beyond the typical IaaS-based service models by moving computing and storage capabilities from the datacenters to the edge network, and consequently moving cloud services closer to the end users. This approach, which is compatible with the concept of fog...

In this demonstration we will show the prospects of dynamic cloud service placement. A cloud service is implemented that manages real-time video streaming and real-time control commands for a remote controlled drone. The requirements for this cloud service are groundbreaking because the image transfer and the control commands should be...

This paper focuses on the power management of state-of-the-art networked devices (like common PCs, servers, set-top boxes, etc.) to evaluate their behavior, model their internal dynamics and possible sources of inefficiency, and optimize their performance and energy efficiency. To this purpose, we started from an experimental characterization...

Fifth generation (5G) mobile networks will lead to a deep integration between networks and applications. Through novel paradigms like network functions virtualization and edge computing, the new classes of heterogeneous application services will be enabled to run close to the mobile end-user devices with zero-perceived latency and...

The objective of this paper is to determine how the incoming and outgoing traffic patterns provided by the TCP impact the energy efficiency of a networked device under realistic scenarios. We set up a complex test-bed that allowed us to perform a large number of measurements of energy-And network-performance indexes on a general-purpose...

In order to overcome the cloud service performance limits, the INPUT Project aims to go beyond the typical IaaS-based service models by moving computing and storage capabilities from the datacenters to the edge network, and consequently moving cloud services closer to the end users. This approach, which is compatible with the concept of fog...

To effectively support new cloud services and smart device accessibility, current Internet design must move away from its typical TCP/IP-based architecture and evolve towards new paradigms characterized by high degrees of freedom. In particular, Network Functions Virtualization and Software-Defined Networking have proven to be appropriate...

Low latency and integration with edge computing facilities are two of the main enablers of the upcoming fifth-generation mobile network. The geographical distribution of virtualized compute and storage resources (e.g., NFVI PoPs) allows to deploy application/service instances/components closer to mobile subscribers, and to provide much higher...

Fog computing has been proposed to improve the cloud computing functionality by moving computation and storage resources closer to end-users, thus reducing end-to-end latency to make new personal services available. However, a number of issues need to be overcome in order to deploy this new technology, which include scalability of user...