Kibana, Grafana And Zeppelin On Monitoring Data

Nurgaliev, Ildar; Karavakis, E.; Aimar, A.

doi:10.5281/zenodo.61079

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…IV) Custom processes: custom functions can be invoked at runtime to provide flexible implementations of real events such as the movement of the workload sources, generation of network failures, and specific data collection using third-applications such as Grafana [18] (an open platform for analytics and monitoring of computer infrastructures and services).…”

Section: Introductionmentioning

confidence: 99%

YAFS: A Simulator for IoT Scenarios in Fog Computing

2019

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We propose a fog computing simulator for analysing the design and deployment of applications through customized and dynamical strategies. We model the relationships among deployed applications, network connections and infrastructure characteristics through complex network theory, enabling the integration of topological measures in dynamic and customizable strategies such as the placement of application modules, workload location, and path routing and scheduling of services. We present a comparative analysis of the efficiency and the convergence of results of our simulator with the most referenced entity, iFogSim. To highlight YAFS functionalities, we model three scenarios that, to the best of our knowledge, cannot be implemented with current fog simulators: dynamic allocation of new application modules, dynamic failures of network nodes and user mobility along the topology.

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Section: Introductionmentioning

confidence: 99%

YAFS: A Simulator for IoT Scenarios in Fog Computing

2019

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“…The research challenges of identifying, prioritising, and satisfying the attributes that make an AI system trustworthy remain open (NSF, 2022 [2]). Several organisations have principles on how to develop AI that benefits all stakeholders (Fjeld et al, 2020[3]; Jobin, Ienca and Vayena, 2019 [4]).…”

Section: What Is Trustworthy Ai?mentioning

confidence: 99%

Advancing accountability in AI

2023

OECD Digital Economy Papers

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Kibana, Grafana And Zeppelin On Monitoring Data

Cited by 2 publications

References 2 publications

YAFS: A Simulator for IoT Scenarios in Fog Computing

YAFS: A Simulator for IoT Scenarios in Fog Computing

Advancing accountability in AI

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