: An Adaptive O rchestration Platform for H ybrid Dataflows across C loud and E dge

P Ravindra, A Khochare, SP Reddy, S Sharma… - … Conference on Service …, 2017 - Springer
Abstract The Internet of Things (IoT) is offering unprecedented observational data that are
used for managing Smart City utilities. Edge and Fog gateway devices are an integral part of …

Enabling workload engineering in edge, fog, and cloud computing through OpenStack-based middleware

G Merlino, R Dautov, S Distefano… - ACM Transactions on …, 2019 - dl.acm.org
To enable and support smart environments, a recent ICT trend promotes pushing
computation from the remote Cloud as close to data sources as possible, resulting in the …

Analytics everywhere: generating insights from the internet of things

H Cao, M Wachowicz, C Renso, E Carlini - Ieee Access, 2019 - ieeexplore.ieee.org
The Internet of Things is expected to generate an unprecedented number of unbounded
data streams that will produce a paradigm shift when it comes to data analytics. We are …

Facilitating distributed data-flow programming with Eclipse Zenoh: The ERDOS case

G Baldoni, J Loudet, L Cominardi, A Corsaro… - Proceedings of the 1st …, 2021 - dl.acm.org
Data-flow programming is the computational model of choice for a large class of application
domains, such as, real-time data processing, robotics platforms, and big-data analytics …

[图书][B] Fog and edge computing: principles and paradigms

R Buyya, SN Srirama - 2019 - books.google.com
A comprehensive guide to Fog and Edge applications, architectures, and technologies
Recent years have seen the explosive growth of the Internet of Things (IoT): the internet …

A low-cost two-tier fog computing testbed for streaming IoT-based applications

S Nguyen, Z Salcic, X Zhang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In this article, we propose a comprehensive multilayer (IoT-device, edge, fog, and cloud)
streaming analytics platform with two-tier fog layer, which comprises streaming and analytics …

Kfiml: Kubernetes-based fog computing iot platform for online machine learning

Z Wan, Z Zhang, R Yin, G Yu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The massive onsite data produced by the Internet of Things (IoT) can bring valuable
information and immense potentials, thus empowering a new wave of emerging …

Fog function: Serverless fog computing for data intensive iot services

B Cheng, J Fuerst, G Solmaz… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Fog computing can support IoT services with fast response time and low bandwidth usage
by moving computation from the cloud to edge devices. However, existing fog computing …

[HTML][HTML] FaaS for IoT: Evolving Serverless towards Deviceless in I/Oclouds

G Merlino, G Tricomi, L D'agati, Z Benomar… - Future Generation …, 2024 - Elsevier
The burgeoning paradigms of Fog and Edge computing propose delegating Cloud-related
tasks to the network's periphery, thus placing computational resources closer to data …

Serverless data pipeline approaches for IoT data in fog and cloud computing

SR Poojara, CK Dehury, P Jakovits… - Future Generation …, 2022 - Elsevier
With the increasing number of Internet of Things (IoT) devices, massive amounts of raw data
is being generated. The latency, cost, and other challenges in cloud-based IoT data …