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Research Project
PLEDGER: paving the way for next generation edge computing
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An innovative project that combines the benefits of edge and cloud computing paradigms.
Where: international
Where: international
Challenge
Edge computing allows data produced by IoT devices to be processed closer to where they are created instead of sending them across long routes to data centres or cloud. Its disruptive potential is fuelled by the unprecedented growth of data, the imminent impact of 5G networks and the growing importance of latency in modern applications.
Approach
It becomes clear that current approaches on edge computing are not sufficient to address its forthcoming massive usage, especially in the frame of large IoT deployments in smart cities and industrial applications. The PLEDGER project aims at delivering a new architectural paradigm and a toolset that will pave the way for next generation edge computing infrastructures.
Digital Ecosystem
Solution
Digital Ecosystem
PLEDGER delivers a set of tools and processes that enable:
- edge computing providers to enhance the stability and performance effectiveness of their edge infrastructures, through runtime analysis and adaptation, the modelling of overheads and the optimal grouping of concurrently running services
- edge computing adopters to understand the computational nature of their applications, identify how they can balance their cost and performance to optimise their competitiveness and monitor their SLAs
In the project, Engineering is mainly involved in the development of mechanisms for assessing performance of resources in the infrastructure (both Cloud and Edge nodes). The project has received co-funding from the European Union's Horizon 2020 programme - Contract No. 871536
Financing Framework
Results
Enahanced coupling of cloud and edge computing capabilities
Higher levels of trust in edge infrastructures.
Impacts
Technologies
Cloud
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Case Study
Brescia: Sustainable Mobility Becomes a Game
An app to encourage sustainable behaviors by promoting the use of public and private transport, as well as private and shared bicycles for commuting.
-
Research Project
ARIEN: an AI platform to support the fight against illegal drug trafficking
A holistic approach based on artificial intelligence tools for monitoring the production and illegal trafficking of drugs.
-
Case Study
Towards Intelligent and Scalable Workforce Management
Together with UKG, a Workforce Management platform was implemented to one of the largest luxury fashion brands to globally improve time tracking, planning, and operational efficiency.
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