A two-stage multi-population genetic algorithm with heuristics for workflow scheduling in heterogeneous distributed computing environments
Y Xie, FX Gui, WJ Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Workflow scheduling in Heterogeneous Distributed Computing Environments (HDCEs) is a
NP-hard problem. Although a number of scheduling approaches have been proposed for …
NP-hard problem. Although a number of scheduling approaches have been proposed for …
A collaborative scheduling method for cloud computing heterogeneous workflows based on deep reinforcement learning
G Chen, J Qi, Y Sun, X Hu, Z Dong, Y Sun - Future Generation Computer …, 2023 - Elsevier
Aiming at the problem of low overall service quality caused by the disordered collaboration
of heterogeneous workflows and discontinuous task execution in cloud computing …
of heterogeneous workflows and discontinuous task execution in cloud computing …
A wholistic optimization of containerized workflow scheduling and deployment in the cloud–edge environment
Abstract Digital Twin in Industry 4.0 utilizes Internet of Things (IoT) to collect real-life data
and combine it with simulation models for product design and development. The simulation …
and combine it with simulation models for product design and development. The simulation …
Workflow Scheduling in Cloud–Fog Computing Environments: A Systematic Literature Review
R Bouabdallah, F Fakhfakh - Concurrency and Computation …, 2024 - Wiley Online Library
ABSTRACT The Internet of Things (IoT) facilitates the connectivity of billions of physical
devices for exchanging information and enabling a wide range of applications. These …
devices for exchanging information and enabling a wide range of applications. These …
Real Relative Encoding Genetic Algorithm for Workflow Scheduling in Heterogeneous Distributed Computing Systems
This paper introduces a novel Real Relative encoding Genetic Algorithm (R GA) to tackle the
workflow scheduling problem in heterogeneous distributed computing systems (HDCS). R …
workflow scheduling problem in heterogeneous distributed computing systems (HDCS). R …
Genetic-based two granularity ordering methods for multiple workflow scheduling
In cloud computing, multiple workflow scheduling is important to optimize resource
allocation and utilization for concurrent execution of diverse workflows across different …
allocation and utilization for concurrent execution of diverse workflows across different …
Scientific workflow scheduling using adaptive dingo optimization in multi-cloud environment
AA Mary - International Journal of Information Technology, 2024 - Springer
A framework for emerging innovations and the capacity to provide reliable cloud services in
cloud computing. The availability of “unlimited” computing capabilities to consumers on …
cloud computing. The availability of “unlimited” computing capabilities to consumers on …
DRAS: A Scheduling Algorithm for Cloud-Based DAG with Deadline Constraints
W Zheng, J Deng, Z Nan, P Lin… - 2023 IEEE Intl Conf on …, 2023 - ieeexplore.ieee.org
The scheduling problem of Directed Acyclic Graph (DAG) with deadline constraints in a
cloud computing environment has not been thoroughly studied. This paper concentrates on …
cloud computing environment has not been thoroughly studied. This paper concentrates on …
Two-Stage Genetic-Based Optimization for Multiple Workflows Resource Provisioning and Scheduling on Cloud Under Resource Constraints
Resource provisioning and scheduling are one of the prominent problems for multiple
workflow requests in cloud environment. Although the workflow scheduling problem has …
workflow requests in cloud environment. Although the workflow scheduling problem has …