Accelerating IoT with a Cognitive Serverless Framework (osc24) episode artwork

EPISODE · Jun 28, 2024 · 27 MIN

Accelerating IoT with a Cognitive Serverless Framework (osc24)

from Chaos Computer Club - archive feed · host Torsten Hallmann

IoT application developers that need to leverage the emerging cloud-edge continuum are faced with a number of challenges. Many of them derive from the limitations imposed by resource-constrained edge devices, infrastructure heterogeneity, and the need to meet criteria such as performance, resilience, security, data sovereignty, and energy efficiency. To overcome these obstacles, the EU project COGNIT (https://cognit.sovereignedge.eu/) is developing a new distributed Function-as-a-Service (FaaS) platform that enables application developers to off-load tasks to a cognitive computing continuum. Through Artificial Intelligence enabled orchestration and automation, this Horizon Europe project will implement a disaggregated architecture that fits the nature of edge environments and abstracts the complexities of the underlying cloud-edge infrastructure. It enables for dynamically managing and adapting resources and workloads in response to incidents, security aspects, and other metrics that are relevant to the evolving needs of the workloads and applications. In this talk we will explore some of the sectors and use cases—including Industry & Manufacturing, Smart Cities, Cybersecurity, Wildfire Detection, Energy—in which the open source technology that we are developing in this project will bring an immediate benefit to IoT/edge application developers and end-users. IoT application developers that need to leverage the emerging cloud-edge continuum are faced with a number of challenges. Many of them derive from the limitations imposed by resource-constrained edge devices, infrastructure heterogeneity, and the need to meet criteria such as performance, resilience, security, data sovereignty, and energy efficiency. To overcome these obstacles, the EU project COGNIT (https://cognit.sovereignedge.eu/) is developing a new distributed Function-as-a-Service (FaaS) platform that enables application developers to off-load tasks to a cognitive computing continuum. Through Artificial Intelligence enabled orchestration and automation, this Horizon Europe project will implement a disaggregated architecture that fits the nature of edge environments and abstracts the complexities of the underlying cloud-edge infrastructure. It enables for dynamically managing and adapting resources and workloads in response to incidents, security aspects, and other metrics that are relevant to the evolving needs of the workloads and applications. In this talk we will explore some of the sectors and use cases—including Industry & Manufacturing, Smart Cities, Cybersecurity, Wildfire Detection, Energy—in which the open source technology that we are developing in this project will bring an immediate benefit to IoT/edge application developers and end-users. about this event: https://c3voc.de

Episode metadata supplied by the publisher feed · Published Jun 28, 2024

IoT application developers that need to leverage the emerging cloud-edge continuum are faced with a number of challenges. Many of them derive from the limitations imposed by resource-constrained edge devices, infrastructure heterogeneity, and the need to meet criteria such as performance, resilience, security, data sovereignty, and energy efficiency. To overcome these obstacles, the EU project COGNIT (https://cognit.sovereignedge.eu/) is developing a new distributed Function-as-a-Service (FaaS) platform that enables application developers to off-load tasks to a cognitive computing continuum. Through Artificial Intelligence enabled orchestration and automation, this Horizon Europe project will implement a disaggregated architecture that fits the nature of edge environments and abstracts the complexities of the underlying cloud-edge infrastructure. It enables for dynamically managing and adapting resources and workloads in response to incidents, security aspects, and other metrics that are relevant to the evolving needs of the workloads and applications. In this talk we will explore some of the sectors and use cases—including Industry & Manufacturing, Smart Cities, Cybersecurity, Wildfire Detection, Energy—in which the open source technology that we are developing in this project will bring an immediate benefit to IoT/edge application developers and end-users. IoT application developers that need to leverage the emerging cloud-edge continuum are faced with a number of challenges. Many of them derive from the limitations imposed by resource-constrained edge devices, infrastructure heterogeneity, and the need to meet criteria such as performance, resilience, security, data sovereignty, and energy efficiency. To overcome these obstacles, the EU project COGNIT (https://cognit.sovereignedge.eu/) is developing a new distributed Function-as-a-Service (FaaS) platform that enables application developers to off-load tasks to a cognitive computing continuum. Through Artificial Intelligence enabled orchestration and automation, this Horizon Europe project will implement a disaggregated architecture that fits the nature of edge environments and abstracts the complexities of the underlying cloud-edge infrastructure. It enables for dynamically managing and adapting resources and workloads in response to incidents, security aspects, and other metrics that are relevant to the evolving needs of the workloads and applications. In this talk we will explore some of the sectors and use cases—including Industry & Manufacturing, Smart Cities, Cybersecurity, Wildfire Detection, Energy—in which the open source technology that we are developing in this project will bring an immediate benefit to IoT/edge application developers and end-users. about this event: https://c3voc.de

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Accelerating IoT with a Cognitive Serverless Framework (osc24)

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IoT application developers that need to leverage the emerging cloud-edge continuum are faced with a number of challenges. Many of them derive from the limitations imposed by resource-constrained edge devices, infrastructure heterogeneity, and the...

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