Efficient job scheduling paradigm based on hybrid sparrow search algorithm and differential evolution optimization for heterogeneous cloud computing platforms
MI Khaleel - Internet of Things, 2023 - Elsevier
The job scheduling paradigms include dispatching Internet of Things (IoT) critical services
onto processing nodes. Here most energy is consumed in finding suitable virtual machines …
onto processing nodes. Here most energy is consumed in finding suitable virtual machines …
Cloud‐Internet of Health Things (IOHT) Task Scheduling Using Hybrid Moth Flame Optimization with Deep Neural Network Algorithm for E Healthcare Systems
Considering task dependencies, the balancing of the Internet of Health Things (IoHT)
scheduling is considered important to reduce the make span rate. In this paper, we …
scheduling is considered important to reduce the make span rate. In this paper, we …
Model-driven impact quantification of energy resource redundancy and server rejuvenation on the dependability of medical sensor networks in smart hospitals
The spread of the Coronavirus (COVID-19) pandemic across countries all over the world
urges governments to revolutionize the traditional medical hospitals/centers to provide …
urges governments to revolutionize the traditional medical hospitals/centers to provide …
Telestroke network to robotic telestroke network: How to upgrade regional stroke care to include remote robotics?
G Charbonnier, A Consoli, L Bonnet, A Biondi… - Digital …, 2024 - journals.sagepub.com
Objective Selected patients with large vessel occlusion (LVO) strokes can benefit from
endovascular therapy (EVT). However, the effectiveness of EVT is largely dependent on how …
endovascular therapy (EVT). However, the effectiveness of EVT is largely dependent on how …
Pelican optimization algorithm with blockchain for secure load balancing in fog computing
Rapid advancements in innovation, the Internet of Things (IoT), and edge computing have
provided room for companies, government agencies, well-being administrations, and …
provided room for companies, government agencies, well-being administrations, and …
An energy efficient and secure model using chaotic levy flight deep Q-learning in healthcare system
Fog computing is a modern research trend that brings cloud computing services closer to the
network edge. It serves as middleware between cloud and Internet of Things (IoT) devices …
network edge. It serves as middleware between cloud and Internet of Things (IoT) devices …
Availability and Performance Assessment of IoMT Systems: A Stochastic Modeling Approach
T Valentim, G Callou, C França, E Tavares - Journal of Network and …, 2024 - Springer
Abstract Internet of Things (IoT) allows distinct elements of an environment to be remotely
monitored using existing network infrastructures, creating a prominent integration of …
monitored using existing network infrastructures, creating a prominent integration of …
[PDF][PDF] A hybrid business-technical model for evaluating iot platforms' functionality, reliability, and usability
The implementation and effectiveness of IoT platforms are crucial for data analysis, process
optimization, and service control in various sectors. However, evaluating IoT platforms can …
optimization, and service control in various sectors. However, evaluating IoT platforms can …
A Customized Energy Management System for Distributed PV, Energy Storage Units, and Charging Stations on Kinmen Island of Taiwan
HC Lee, HY Liu, TC Lin, CY Lee - Sensors, 2023 - mdpi.com
Kinmen, the famous Cold War island also known as Quemoy, is a typical island with isolated
power grids. It considers the promotion of renewable energy and electric charging vehicles …
power grids. It considers the promotion of renewable energy and electric charging vehicles …
Special Issue “Edge and Fog Computing for Internet of Things Systems”
Employing edge and fog computing for building IoT systems is essential, especially because
of the massive number of data generated by sensing devices, the delay requirements of IoT …
of the massive number of data generated by sensing devices, the delay requirements of IoT …