Search
Search Results
-
Algorithmic Aspects of Distributed Hash Tables on Cloud, Fog, and Edge Computing Applications: A Survey
In the current era, where data is expanding due to the unforeseen volume, velocity, and variety of data types produced by IoT devices, there is an...
-
3D Lidar Target Detection Method at the Edge for the Cloud Continuum
In the internet of things, machine learning at the edge of cloud continuum is develo** rapidly, providing more convenient services for design...
-
Embedded Edge and Cloud Intelligence
The number of connected edge or internet-of-things (IoT) devices is expected to cross over 20 billion by the 2021. These devices include basic sensor...
-
OPECE: Optimal Placement of Edge Servers in Cloud Environment
Cloud computing offloads user tasks to remote cloud servers, which can effectively enhance the user’s network experience, but in recent years, as the...
-
Reinforcement learning empowered multi-AGV offloading scheduling in edge-cloud IIoT
The edge-cloud computing architecture has been introduced to industrial circles to ensure the time constraints for industrial computing tasks....
-
Thermal error prediction and control method combining residual-based one-dimensional convolution-minimum gate unit model with physical-data-edge-cloud terminal architecture
The geometric precision of machined parts is greatly reduced due to thermal errors, thereby the thermal errors should be controlled and compensated...
-
Automatic incident detection using edge-cloud collaboration based deep learning scheme for intelligent transportation systems
AbstractAutomatic incident detection not only plays an important role in traffic safety management, but also contributes to the operation of...
-
Blockchain Based Simulated Virtual Machine Placement Hybrid Approach for Decentralized Cloud and Edge Computing Environments
In the distributed cloud environment, each server (computing server (CS)) is configured with Local Resource Monitors (LRM), which runs independently...
-
Privacy-preserving cloud-edge collaborative learning without trusted third-party coordinator
Cloud-edge collaborative learning has received considerable attention recently, which is an emerging distributed machine learning (ML) architecture...
-
Efficient federated learning for fault diagnosis in industrial cloud-edge computing
Federated learning is a deep learning optimization method that can solve user privacy leakage, and it has positive significance in applying...
-
CCECGP: causal consistency model of edge–cloud collaborative based on grou** protocol
At present, most causal consistency models based on cloud storage can no longer meet the needs of delay-sensitive applications. Moreover, the...
-
A task offloading algorithm for cloud-edge collaborative system based on Lyapunov optimization
Due to the limitation of computing resources and storage resources, mobile edge computing cannot cope with the massive data generated by the...
-
Improving Performance of Smart Education Systems by Integrating Machine Learning on Edge Devices and Cloud in Educational Institutions
Educational institutions today are embracing technology to enhance education quality through intelligent systems. This study introduces an innovative...
-
Operator placement for data stream processing based on publisher/subscriber in hybrid cloud-fog-edge infrastructure
Internet of Things (IoT) systems generate a vast volume of data to process, and the volume of data generated by the IoT will continue to expand...
-
Tournament based equilibrium optimization for minimizing energy consumption on dynamic task scheduling in cloud-edge computing
With the increasing advancements in the Internet of Things (IoT) and the growing production of tasks by IoT devices, the demand for cloud computing...
-
Towards 6G-Enabled Edge-Cloud Continuum Computing – Initial Assessment
While actual deployments of fifth generation (5G) networks are in their initial stages and the actual need for 5G in our daily lives remains an open...
-
Artificial Intelligence for Cloud and Edge Computing
This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses,...
-
Privacy-Preserving Cloud-Edge Collaborative K-Means Clustering Model in IoT
A growing number of smart devices collect data and store it in the cloud for clustering services. K-means outsourcing cloud services not only brings...
-
A Computing Resource Allocation Optimization Strategy for Massive Internet of Health Things Devices Considering Privacy Protection in Cloud Edge Computing Environment
With the development of 5G and the explosive growth of massive Internet of Health Things devices, existing computing resource allocation strategies...
-
Reliable Function Computation Offloading in Cloud-Edge Collaborative Network
In this paper, we focus on the cloud-edge collaborative network, where a task is decomposed into a set of functions and could be offloaded to...