[HTML][HTML] All one needs to know about fog computing and related edge computing paradigms: A complete survey

A Yousefpour, C Fung, T Nguyen, K Kadiyala… - Journal of Systems …, 2019 - Elsevier
Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …

A comprehensive survey on fog computing: State-of-the-art and research challenges

C Mouradian, D Naboulsi, S Yangui… - … surveys & tutorials, 2017 - ieeexplore.ieee.org
Cloud computing with its three key facets (ie, Infrastructure-as-a-Service, Platform-as-a-
Service, and Software-as-a-Service) and its inherent advantages (eg, elasticity and …

Unlocking insights in iot-based patient monitoring: Methods for encompassing large-data challenges

M Waleed, T Kamal, TW Um, A Hafeez, B Habib… - Sensors, 2023 - mdpi.com
The remote monitoring of patients using the internet of things (IoT) is essential for ensuring
continuous observation, improving healthcare, and decreasing the associated costs (ie …

A Lightweight Location‐Aware Fog Framework (LAFF) for QoS in Internet of Things Paradigm

Q Shaheen, M Shiraz, MU Hashmi… - Mobile Information …, 2020 - Wiley Online Library
Realization of Internet of Things (IoT) has revolutionized the scope of connectivity and
reachability ubiquitously. Under the umbrella of IoT, every object which is smart enough to …

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 …

Living on the edge: Data transmission, storage, and analytics in continuous sensing environments

T Buddhika, M Malensek, S Pallickara… - ACM Transactions on …, 2021 - dl.acm.org
Voluminous time-series data streams produced in continuous sensing environments impose
challenges pertaining to ingestion, storage, and analytics. In this study, we present a holistic …

Sea-leap: Self-adaptive and locality-aware edge analytics placement

I Lujic, V De Maio, S Venugopal… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Near real-time edge analytics requires dealing with the rapidly growing amount of data,
limited resources, and high failure probabilities of edge nodes. Therefore, data replication is …

[PDF][PDF] All one needs to know about fog computing and related edge computing paradigms

A Yousefpour, C Fung, T Nguyen, K Kadiyala… - Journal of Systems … - researchgate.net
In today's information technology age, data is the main commodity, and possessing more
data typically generates more value in datadriven businesses. According to the International …

ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections

S Mitra, P Khandelwal, S Pallickara… - 2023 IEEE 16th …, 2023 - ieeexplore.ieee.org
Interactive visual analytics over distributed systems housing voluminous datasets is
hindered by three main factors-disk and network I/O, and data processing overhead …

Path2iot: A holistic, distributed stream processing system

P Michalák, P Watson - 2017 IEEE International Conference on …, 2017 - ieeexplore.ieee.org
The PATH2iot open-source platform presents a new approach to stream processing for
Internet of Things applications by automatically partitioning and deploying the computation …