Energy efficient task scheduling based on deep reinforcement learning in cloud environment: A specialized review
The expanding scale of cloud data centers and the diversification of user services have led
to an increase in energy consumption and greenhouse gas emissions, resulting in long-term …
to an increase in energy consumption and greenhouse gas emissions, resulting in long-term …
A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments
Efficient task scheduling is considered as one of the main critical challenges in cloud
computing. Task scheduling is an NP-complete problem, so finding the best solution is …
computing. Task scheduling is an NP-complete problem, so finding the best solution is …
Scheduling energy consumption-constrained workflows in heterogeneous multi-processor embedded systems
J Chen, P Han, Y Zhang, T You, P Zheng - Journal of Systems Architecture, 2023 - Elsevier
Heterogeneous multi-processor architecture which achieves rich functionalities with different
types of processors, is widely used to provide powerful calculating capability while kee** …
types of processors, is widely used to provide powerful calculating capability while kee** …
Multi-objective workflow scheduling with deep-Q-network-based multi-agent reinforcement learning
Y Wang, H Liu, W Zheng, Y ** complexity and energy consumption …
A survey on algorithms for intelligent computing and smart city applications
With the rapid development of human society, the urbanization of the world's population is
also progressing rapidly. Urbanization has brought many challenges and problems to the …
also progressing rapidly. Urbanization has brought many challenges and problems to the …
Dynamic planning of bicycle stations in dockless public bicycle-sharing system using gated graph neural network
Benefiting from convenient cycling and flexible parking locations, the Dockless Public
Bicycle-sharing (DL-PBS) network becomes increasingly popular in many countries …
Bicycle-sharing (DL-PBS) network becomes increasingly popular in many countries …
Job scheduling in cloud computing using a modified harris hawks optimization and simulated annealing algorithm
In recent years, cloud computing technology has attracted extensive attention from both
academia and industry. The popularity of cloud computing was originated from its ability to …
academia and industry. The popularity of cloud computing was originated from its ability to …
A bi-layered parallel training architecture for large-scale convolutional neural networks
Benefitting from large-scale training datasets and the complex training network,
Convolutional Neural Networks (CNNs) are widely applied in various fields with high …
Convolutional Neural Networks (CNNs) are widely applied in various fields with high …
Intelligent workflow scheduling for Big Data applications in IoT cloud computing environments
Effective task scheduling is recognized as one of the main critical challenges in cloud
computing; it is an essential step for effectively exploiting cloud computing resources, as …
computing; it is an essential step for effectively exploiting cloud computing resources, as …