Edge cloud server deployment with transmission power control through machine learning for 6G Internet of Things
Cloud computing is an important technology for bringing a big pool of elastic resources to
client devices. Their main drawback has long been the long distance between users and …
client devices. Their main drawback has long been the long distance between users and …
Hybrid method for minimizing service delay in edge cloud computing through VM migration and transmission power control
Due to physical limitations, mobile devices are restricted in memory, battery, processing,
among other characteristics. This results in many applications that cannot be run in such …
among other characteristics. This results in many applications that cannot be run in such …
An improved multi-objective genetic algorithm with heuristic initialization for service placement and load distribution in edge computing
Edge Computing (EC) is a promising concept to overcome some obstacles of traditional
cloud data centers to support Internet of Things (IoT) applications, especially time-sensitive …
cloud data centers to support Internet of Things (IoT) applications, especially time-sensitive …
Service management and energy scheduling toward low-carbon edge computing
Edge computing has become an alternative low-latency provision of cloud computing thanks
to its close-proximity to the users, and the geo-distribution nature of edge servers enables …
to its close-proximity to the users, and the geo-distribution nature of edge servers enables …
Service capacity enhanced task offloading and resource allocation in multi-server edge computing environment
An edge computing environment features multiple edge servers and multiple service clients.
In this environment, mobile service providers can offload client-side computation tasks from …
In this environment, mobile service providers can offload client-side computation tasks from …
Deep reinforcement learning based approach for online service placement and computation resource allocation in edge computing
Due to the urgent emergence of computation-intensive intelligent applications on end
devices, edge computing has been put forward as an extension of cloud computing, to …
devices, edge computing has been put forward as an extension of cloud computing, to …
IoT microservice deployment in edge-cloud hybrid environment using reinforcement learning
The edge-cloud hybrid environment requires complex deployment strategies to enable the
smart Internet-of-Things (IoT) system. However, current service deployment strategies use …
smart Internet-of-Things (IoT) system. However, current service deployment strategies use …
Dynamic task allocation and service migration in edge-cloud iot system based on deep reinforcement learning
Edge computing (EC) extends the ability of cloud computing to the network edge to support
diverse resource-sensitive and performance-sensitive IoT applications. However, due to the …
diverse resource-sensitive and performance-sensitive IoT applications. However, due to the …
READ: Robustness-oriented edge application deployment in edge computing environment
In recent years, edge computing has emerged as a prospective distributed computing
paradigm that overcomes several limitations of cloud computing. In the edge computing …
paradigm that overcomes several limitations of cloud computing. In the edge computing …
Reinforcement learning framework for server placement and workload allocation in multiaccess edge computing
A Mazloomi, H Sami, J Bentahar… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Cloud computing is a reliable solution to provide distributed computation power. However,
real-time response is still challenging regarding the enormous amount of data generated by …
real-time response is still challenging regarding the enormous amount of data generated by …