Cloud Computing is an emerging computing platform collecting under a unique umbrella several research results from the areas of Grid Computing, Hardware and Network Virtualization, and Data Centers administration. Research in Cloud Computing goes towards the goal of realizing the ambitious “computing as an utility” paradigm through public clouds, but also aims at improving private and community cloud infrastructures to answer the peculiar needs of many industrial realities.
Challenges in Cloud Computing are the improvement of allocation algorithms for virtual machines and virtual networks, QoS provisioning and SLA enforcement for cloud users, enabling interoperability between different cloud vendors through the development of standards for cloud federations.
Service State Migration towards Elastic Provisioning of Telco Services in the Mobile Cloud Networking Project
Research in the Mobile Computing area is focused on the development of novel algorithms, frameworks and architectures that support rich pervasive and ubiquitous services for moving users.
Among the many challenges of this field there are the realization of solutions independent from the heterogeneous hardware and software platforms, and the provision of ubiqitous connectivity always levarging the best available opportunity.
Real Ad-Hoc Multi-Hop Peer-to-peer
Mobility/Handover prediction in wireless networks based on cellualr architecture
|The MMHC Project
Enabling Multi-hop Multi-path Heterogeneous Connectivity
Mobile Agent Based Ubiquitous Multimedia Middleware
Kura-extended Gateways with Californium Integration and Hierarchical Optimization
|MFTP for ProSe
Multi-Frame Transfer Protocol for Proximity Services
|Edge Computing Migration
A Migration-enhanced Edge Computing Support for Mobile Services in Hostile Environments, with Elijah/Openstack++
NGN & Future Internet Scenarios
The convergence of telecommunication services (voice, text, …) and data services to an integrated all-IP network is what is usually referred to as Next Generation Network (NGN). In this vision users are provided an ubiquitous service which they can request transparently from different kind of devices and access networks.
Main challenges in this research area are the seamless integration of different access network and communication technologies, the provisioning of services with specific and differentiated QoS, and the development of standard-compliant solutions which help in the transition from the current networking architecture.
IMS-Compliant Handoff Management Application Server
Localized rElay-based mobile Multimedia
Sustainable Infrastructures for Smart Environments
The integration of computing and communication capabilities into million of devices that melt and hide into everyday life is no longer a future-world perspective, but it is happening right now around us. Many of these devices, which are sometimes even wearable, are provided with more or less sophisticated sensors which are able to measure peculiar characteristics of the environment in which they move and act.
Intelligently collect and aggregate these input data, perform reasoning and inference to derive higher level information, and build smart systems and services which adapt to their surrounding environments are all challenges of the Smart Pervasive Environments (SPE) research.
Fog is an emergent architecture for computing, storage, control, and networking that distributes these services closer to end users along the cloud-to-things continuum.
As an architecture, it supports a growing variety of applications, including those in the Internet of Things (IoT), and fifth-generation (5G) wireless systems.
Research in the Fog Computing area is focused on the development of novel algorithms, frameworks and architectures that support rich pervasive and ubiquitous services for heterogeneous devices.
Differentiated Granularity Support for Service and Data Handoff