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[HTML][HTML] A review on fog computing: Issues, characteristics, challenges, and potential applications
Fog computing is a paradigm that utilizes the advantages of both the cloud and the edge
devices providing quality services, reducing latency, providing mobility support, multi …
devices providing quality services, reducing latency, providing mobility support, multi …
A systematic review of IoT in healthcare: Applications, techniques, and trends
Abstract Internet of Things (IoT) is an ever-expanding ecosystem that integrates software,
hardware, physical objects, and computing devices to communicate, collect, and exchange …
hardware, physical objects, and computing devices to communicate, collect, and exchange …
Multi-objective grey wolf optimizer algorithm for task scheduling in cloud-fog computing
The revolution of IoT and its capabilities to serve various fields led to generating a large
amount of data for processing. Tasks that require an instant response, especially with …
amount of data for processing. Tasks that require an instant response, especially with …
[HTML][HTML] DLJSF: data-locality aware job scheduling IoT tasks in fog-cloud computing environments
Problem statement Nowadays, devices generate copious quantities of high-speed data
streams due to Internet of Things (IoT) applications. For the most part, cloud computing …
streams due to Internet of Things (IoT) applications. For the most part, cloud computing …
Resource allocation and task scheduling in fog computing and internet of everything environments: A taxonomy, review, and future directions
The Internet of Everything paradigm is being rapidly adopted in develo** applications for
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
Abstract Internet of Medical Things (IoMT) supports traditional healthcare systems by
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
[HTML][HTML] Securing healthcare data in industrial cyber-physical systems using combining deep learning and blockchain technology
Industrial cyber–physical systems (ICPS) are emerging platforms for various industrial
applications. For instance, remote healthcare monitoring, real-time healthcare data …
applications. For instance, remote healthcare monitoring, real-time healthcare data …
Resource management in cloud and cloud-influenced technologies for internet of things applications
The trend of adopting Internet of Things (IoT) in healthcare, smart cities, Industry 4.0, and so
on is increasing by means of cloud computing, which provides on-demand storage and …
on is increasing by means of cloud computing, which provides on-demand storage and …
Real-time task scheduling algorithm for IoT-based applications in the cloud–fog environment
IoT applications have become a pillar for enhancing the quality of life. However, the
increasing amount of data generated by IoT devices places pressure on the resources of …
increasing amount of data generated by IoT devices places pressure on the resources of …
An efficient interval many-objective evolutionary algorithm for cloud task scheduling problem under uncertainty
Z Zhang, M Zhao, H Wang, Z Cui, W Zhang - Information Sciences, 2022 - Elsevier
Task scheduling is an important research direction in cloud computing. The current research
on task scheduling considers mainly the design of scheduling strategies and algorithms and …
on task scheduling considers mainly the design of scheduling strategies and algorithms and …