Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments [PDF]
Future generations computer systems, 2023 Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency requirements of ever-increasing number of IoT applications and has become the mainstream computing paradigm behind IoT applications.
Zhiyu Wang +3 more
semanticscholar +1 more source
A decade of research in fog computing: Relevance, challenges, and future directions [PDF]
Software, Practice & Experience, 2023 Recent developments in the Internet of Things (IoT) and real‐time applications, have led to the unprecedented growth in the connected devices and their generated data.
S. Srirama
semanticscholar +1 more source
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions [PDF]
Internet of Things, 2022 Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature of workload, and the unpredictability of fog/edge computing environments ...
Sundas Iftikhar +17 more
semanticscholar +1 more source
Multi-Objective Grey Wolf Optimizer Algorithm for Task Scheduling in Cloud-Fog Computing
IEEE Access, 2023 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 sensitive delay tasks send to the fog node due to the close distance, and ...
Faten A. Saif +3 more
semanticscholar +1 more source
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey [PDF]
Journal of systems architecture, 2018 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 billions of devices and humans to bring promising advantages for us.
Ashkan Yousefpour +7 more
semanticscholar +1 more source
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments [PDF]
Software, Practice & Experience, 2016 Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive volume of data that can overwhelm storage systems and data analytics applications ...
Harshit Gupta +3 more
semanticscholar +1 more source
Addressing the Node Discovery Problem in Fog Computing [PDF]
, 2020 In recent years, the Internet of Things (IoT) has gained a lot of attention due to connecting various sensor devices with the cloud, in order to enable smart applications such as: smart traffic management, smart houses, and smart grids, among others. Due
Desai, Nitin +3 more
core +2 more sources
Orchestration in Fog Computing: A Comprehensive Survey
ACM Computing Surveys, 2022 Fog computing is a paradigm that brings computational resources and services to the network edge in the vicinity of user devices, lowering latency and connecting with cloud computing resources.
Breno G. S. Costa +3 more
semanticscholar +1 more source
An objective assessment to investigate the impact of turning angle on freezing of gait in Parkinson's disease [PDF]
, 2017 Freezing of gait (FoG) is often described in subjects with Parkinson's disease (PD) as a sudden inability to continue the forward walking progression. FoG occurs most often during turning, especially at sharp angles.
Bertoli, Matilde +3 more
core +1 more source
Detection of Fog Network Data Telemetry Using Data Plane Programming [PDF]
, 2020 Fog computing has been introduced to deliver Cloud-based services to the Internet of Things (IoT) devices. It locates geographically closer to IoT devices than Cloud networks and aims at offering latency-critical computation and storage to end-user ...
+3 more
core +1 more source