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Urgent Edge Computing

Patrizio Dazzi, Luca Ferrucci, Marco Danelutto, Konstantinos Tserpes, Antonis Makris, Theodoros Theodoropoulos, Jacopo Massa, Emanuele Carlini, Matteo Mordacchini

TL;DR

The paper defines Urgent Edge Computing (UEC) as a decentralized edge paradigm to support time-sensitive applications in heterogeneous environments. It presents objectives (resource management, dynamic provisioning, QoS differentiation, priority scheduling, collaboration, self-* properties) and enablers (ultra-low latency, distributed processing, security, intelligent orchestration, distributed data management, self-organization) and a five-layer conceptual architecture. Application scenarios in disaster response, environmental monitoring, smart city management, and mass events demonstrate how edge near data sources can enable rapid decision making. The work discusses infrastructure, security, deployment implications and potential fit with 6G and future edge ecosystems, advocating a shift toward urgent edge computing for critical operations.

Abstract

This position paper introduces Urgent Edge Computing (UEC) as a paradigm shift addressing the evolving demands of time-sensitive applications in distributed edge environments, in time-critical scenarios. With a focus on ultra-low latency, availability, resource management, decentralization, self-organization, and robust security, UEC aims to facilitate operations in critical scenarios such as disaster response, environmental monitoring, and smart city management. This paper outlines and discusses the key requirements, challenges, and enablers along with a conceptual architecture. The paper also outlines the potential applications of Urgent Edge Computing

Urgent Edge Computing

TL;DR

The paper defines Urgent Edge Computing (UEC) as a decentralized edge paradigm to support time-sensitive applications in heterogeneous environments. It presents objectives (resource management, dynamic provisioning, QoS differentiation, priority scheduling, collaboration, self-* properties) and enablers (ultra-low latency, distributed processing, security, intelligent orchestration, distributed data management, self-organization) and a five-layer conceptual architecture. Application scenarios in disaster response, environmental monitoring, smart city management, and mass events demonstrate how edge near data sources can enable rapid decision making. The work discusses infrastructure, security, deployment implications and potential fit with 6G and future edge ecosystems, advocating a shift toward urgent edge computing for critical operations.

Abstract

This position paper introduces Urgent Edge Computing (UEC) as a paradigm shift addressing the evolving demands of time-sensitive applications in distributed edge environments, in time-critical scenarios. With a focus on ultra-low latency, availability, resource management, decentralization, self-organization, and robust security, UEC aims to facilitate operations in critical scenarios such as disaster response, environmental monitoring, and smart city management. This paper outlines and discusses the key requirements, challenges, and enablers along with a conceptual architecture. The paper also outlines the potential applications of Urgent Edge Computing
Paper Structure (36 sections, 2 figures)