ELASTIC Coordinator Eduardo Quiñones gives a talk at the LEGaTO final event collocated with FPL2020, which takes place online on Friday 4 September 2020. The event is titled "LEGaTO: Low-Energy Heterogeneous Computing Workshop" and Eduardo Quiñones presents ELASTIC during Session 5: EU related projects at 15.45-16.30.
His talk is called "The ELASTIC project: A Software Architecture for Extreme-Scale Big-Data Analytics in Fog Computing Ecosystems" and explains how the ELASTIC software architecture is incorporating a novel elasticity concept to distribute and orchestrate the resources across the compute continuum (from edge to cloud) in an innovative fog computing environment.
The full Abstract is as follows:
Big data is nowadays being integrated in systems requiring to process a vast amount of information from (geographically) distributed data sources, while fulfilling the non-functional properties (real-time, energy-efficiency, communication quality and security) inherited from the domain in which analytics are applied.
The ELASTIC project is developing a novel software architecture (SA) to help system designers to address this challenge. The SA will incorporate a novel elasticity concept to distribute and orchestrate the resources across the compute continuum (from edge to cloud) in an innovative fog computing environment. The new elasticity concept will enable to match analytics workload demands and fulfilling non-functional properties. The fog computing architecture will incorporate energy-efficient parallel architectures, combined with innovative distributed storage, secure communications and advanced cloud solutions. Overall, the SA will enable the combination of reactive data-in-motion and latent data- at-rest analytics into a single extreme-scale analytics solution, in which the analytics workloads will be efficiently distributed across the compute continuum based on their suitability and data processing needs. The capabilities of ELASTIC are being demonstrated on a real smart-mobility use case, featuring a heavy sensor infrastructure to collect data across the Florence tramway network, equipped with advanced embedded architectures, heterogeneous sensors, V2I connectivity and access to cloud resources.
About he event
LEGaTO is a three-year H2020 project aimed to develop a toolset for low-energy heterogeneous computing that also considers fault tolerance, programmability, and security. The project optimized a number of use cases for low-energy. The objective of the workshop is to apply the optimization low-energy techniques to other stakeholders in each of the use cases. Check the programme on the LEGaTO page here.