The next grand challenges: Integrating the internet of things and data science
The Next Grand Challenges: Integrating the Internet of Things and Data Science Page 1
DEPARTMENT: Blue Skies The Next Grand Challenges Integrating the Internet of Things and …
DEPARTMENT: Blue Skies The Next Grand Challenges Integrating the Internet of Things and …
Retracted on May 31, 2024: Managing Heterogeneous and Time-Sensitive IoT Applications through Collaborative and Energy-Aware Resource Allocation
In the Internet of Things (IoT) environment, the computing resources available in the cloud
are often unable to meet the latency constraints of time critical applications due to the large …
are often unable to meet the latency constraints of time critical applications due to the large …
Decentralized resource auctioning for latency-sensitive edge computing
C Avasalcai, C Tsigkanos… - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
The prevalence of Internet of Things (IoT) in contemporary settings has induced systems
composed of heterogeneous devices, computing infrastructures, and cloud services. New …
composed of heterogeneous devices, computing infrastructures, and cloud services. New …
Fog computing: Survey of trends, architectures, requirements, and research directions
Emerging technologies such as the Internet of Things (IoT) require latency-aware
computation for real-time application processing. In IoT environments, connected things …
computation for real-time application processing. In IoT environments, connected things …
Guest editorial emerging computing offloading for IoTs: architectures, technologies, and applications
Billions of Internet of Things (IoT) devices, eg, sensors and RFIDs, are arising around us
providing not only computing-intensive, but also delay-sensitive services, ranging from …
providing not only computing-intensive, but also delay-sensitive services, ranging from …
Joint DNN partition and resource allocation for task offloading in edge–cloud-assisted IoT environments
Multiaccess edge computing (MEC) is a promising approach to enhancing IoT devices
running AI-based services. Especially, the edge–cloud architecture acts as a strong …
running AI-based services. Especially, the edge–cloud architecture acts as a strong …
Metis: Optimal task allocation framework for the edge/hub/cloud paradigm
A Kouloumpris, T Theocharides… - Proceedings of the …, 2019 - dl.acm.org
Increased demands for real-time decision support and data analytics facilitate the need of
performing significant computing away from the cloud and onto the IoT devices. In this …
performing significant computing away from the cloud and onto the IoT devices. In this …
Enhancing modular application placement in a hierarchical fog computing: A latency and communication cost-sensitive approach
LT Oliveira, LF Bittencourt, TAL Genez… - Computer …, 2024 - Elsevier
Over the years, cloud computing has been a key enabler for handling complex applications
and services for Internet of Things (IoT) devices situated at the edge of the network. Services …
and services for Internet of Things (IoT) devices situated at the edge of the network. Services …
Fog Resource Aware Framework for Task Offloading in IoT Systems
H Tran-Dang, DS Kim - … and Distributed Intelligent Computation in Fog …, 2023 - Springer
In IoT-based systems, fog computing allows the fog nodes to offload and process tasks
requested from IoT-enabled devices in a distributed manner instead of the centralized cloud …
requested from IoT-enabled devices in a distributed manner instead of the centralized cloud …
IoT application modules placement and dynamic task processing in edge-cloud computing
J Fang, A Ma - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In today's era of Internet of Things (IoT), efficient and real-time processing of massive data
generated by IoT device has become the primary issue for traditional cloud computing …
generated by IoT device has become the primary issue for traditional cloud computing …