Multi-dimensional modeling and abnormality handling of digital twin shop floor
Digital twin is an enabling technology of smart manufacturing. The core of the manufacturing
is the shop floor, where the digital twin shop floor (DTS) is applied to facilitate its …
is the shop floor, where the digital twin shop floor (DTS) is applied to facilitate its …
Fault tolerant and data oriented scientific workflows management and scheduling system in cloud computing
Cloud computing is a virtualized, scalable, ubiquitous, and distributed computing paradigm
that provides resources and services dynamically in a subscription based environment …
that provides resources and services dynamically in a subscription based environment …
An ANN based bidding strategy for resource allocation in cloud computing using IoT double auction algorithm
In the cloud computing, a double auction is extensively used for resource trading. Different
clients and cloud service providers offer multiple bids for respective resources (Virtual …
clients and cloud service providers offer multiple bids for respective resources (Virtual …
Replication-Based Dynamic Energy-Aware Resource Provisioning for Scientific Workflows
Distributed computing services in cloud environments are easily accessible to end users.
These services are delivered to end users via a subscription-based model. The …
These services are delivered to end users via a subscription-based model. The …
Dynamic Load Balancing for Enhanced Network Performance in IoT-Enabled Smart Healthcare with Fog Computing
The rapid expansion of Internet of Things (IoT) devices in healthcare has increased data
volumes, creating challenges for the efficiency and latency of real-time monitoring systems …
volumes, creating challenges for the efficiency and latency of real-time monitoring systems …
A Graph Neural Network‐Based Approach With Dynamic Multiqueue Optimization Scheduling (DMQOS) for Efficient Fault Tolerance and Load Balancing in Cloud …
C Kalaskar - International Journal of Intelligent Systems, 2024 - Wiley Online Library
Currently, cloud computing is increasing on a daily basis and has evolved into an efficient
and flexible paradigm for addressing large‐scale issues. It is recognized as an internet …
and flexible paradigm for addressing large‐scale issues. It is recognized as an internet …
Optimising Cloud Computing Performance with an Enhanced Dynamic Load Balancing Algorithm for Superior Task Allocation
Cloud computing, particularly within the Infrastructure as a Service (IaaS) model, faces
significant challenges in workload distribution due to limited resource availability and virtual …
significant challenges in workload distribution due to limited resource availability and virtual …
[PDF][PDF] A RESOURCE MANAGEMENT MODEL FOR FINANCE DOMAIN IN FOG COMPUTING BASED IOT INFRASTRUCTURE USING DEEP LEARNING AND BIO …
The rise of Internet of Things (IoT) applications in the finance sector has led to an increasing
demand for efficient resource management within fog computing environments, where data …
demand for efficient resource management within fog computing environments, where data …
Replication-based Resource Provisioning and Constrained aware Task Scheduling Framework for Cloud Workflows
Cloud computing (CC) is a popular distributed computing technology that is virtualized,
scalable, and provides resources and services on demand through subscription-based …
scalable, and provides resources and services on demand through subscription-based …
Multi-objective energy aware task scheduling using Orthogonal Learning Particle Swarm Optimization on cloud environment
B Nagalakshmi, S Subramanian - International Journal of Information …, 2024 - Springer
Cloud computing provides Internet users with access to services and shared resources
through service providers. But efficient task scheduling on cloud is one of the most important …
through service providers. But efficient task scheduling on cloud is one of the most important …