AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
Application management in fog computing environments: A taxonomy, review and future directions
The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart
environments in various domains. The IoT-enabled cyber-physical systems associated with …
environments in various domains. The IoT-enabled cyber-physical systems associated with …
Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach
With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …
that require a real-time response and low latency have emerged. Fog computing has …
ManuChain: Combining permissioned blockchain with a holistic optimization model as bi-level intelligence for smart manufacturing
The growth of individualized product demands drives high flexibility of manufacturing
processes, which requires large-scale deployment of Industrial Internet of Things (IIoT) …
processes, which requires large-scale deployment of Industrial Internet of Things (IIoT) …
Solving the multi-objective problem of IoT service placement in fog computing using cuckoo search algorithm
C Liu, J Wang, L Zhou, A Rezaeipanah - Neural Processing Letters, 2022 - Springer
Abstract The Internet of Things (IoT) has led to the proliferation of networked computing
devices in the public, commercial, and private sectors. These devices often demand real …
devices in the public, commercial, and private sectors. These devices often demand real …
A survey on binary metaheuristic algorithms and their engineering applications
This article presents a comprehensively state-of-the-art investigation of the engineering
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …
Traffic and computation co-offloading with reinforcement learning in fog computing for industrial applications
In the past decade, network data communication has experienced a rapid growth, which has
led to explosive congestion in heterogeneous networks. Moreover, the emerging industrial …
led to explosive congestion in heterogeneous networks. Moreover, the emerging industrial …
Makerchain: A blockchain with chemical signature for self-organizing process in social manufacturing
The growth of personalized demands requires socialized resources to timely self-organize
themselves with crowd intelligence for co-creating open architecture products. This social …
themselves with crowd intelligence for co-creating open architecture products. This social …
Heterogeneous task offloading and resource allocations via deep recurrent reinforcement learning in partial observable multifog networks
As wireless services and applications become more sophisticated and require faster and
higher capacity networks, there is a need for an efficient management of the execution of …
higher capacity networks, there is a need for an efficient management of the execution of …
Towards metaheuristic scheduling techniques in cloud and fog: an extensive taxonomic review
Task scheduling is a critical issue in distributed computing environments like cloud and fog.
The objective is to provide an optimal distribution of tasks among the resources. Several …
The objective is to provide an optimal distribution of tasks among the resources. Several …