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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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Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
Case Study
Reengineering of the Health Record of the Regione Molise
The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.
Use Case
Introduction and Implementation of the GOL Program
Introduction of the Workers Employability Guarantee Program (GOL) in Information Systems for Employment and Vocational Training.
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Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
-
Case Study
Reengineering of the Health Record of the Regione Molise
The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.
-
Use Case
Introduction and Implementation of the GOL Program
Introduction of the Workers Employability Guarantee Program (GOL) in Information Systems for Employment and Vocational Training.
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