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 …
Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
Efficient prioritization and processor selection schemes for heft algorithm: A makespan optimizer for task scheduling in cloud environment
Cloud computing is one of the most commonly used infrastructures for carrying out activities
using virtual machines known as processing units. One of the most fundamental issues with …
using virtual machines known as processing units. One of the most fundamental issues with …
Fast adaptive task offloading in edge computing based on meta reinforcement learning
Multi-access edge computing (MEC) aims to extend cloud service to the network edge to
reduce network traffic and service latency. A fundamental problem in MEC is how to …
reduce network traffic and service latency. A fundamental problem in MEC is how to …
Dependent task offloading for edge computing based on deep reinforcement learning
Edge computing is an emerging promising computing paradigm that brings computation and
storage resources to the network edge, hence significantly reducing the service latency and …
storage resources to the network edge, hence significantly reducing the service latency and …
A scheduling scheme in the cloud computing environment using deep Q-learning
Task scheduling, which plays a vital role in cloud computing, is a critical factor that
determines the performance of cloud computing. From the booming economy of information …
determines the performance of cloud computing. From the booming economy of information …
Machine and deep learning for resource allocation in multi-access edge computing: A survey
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
A distributed deep reinforcement learning technique for application placement in edge and fog computing environments
Fog/Edge computing is a novel computing paradigm supporting resource-constrained
Internet of Things (IoT) devices by placement of their tasks on edge and/or cloud servers …
Internet of Things (IoT) devices by placement of their tasks on edge and/or cloud servers …