Task Clustering and Scheduling in Fault Tolerant Cloud Using Dense Neural Network

S Ramachandra, S Srivastava… - … on Advances in …, 2021 - ieeexplore.ieee.org
The scheduling in cloud is considered as a major task in cloud computing environment as it
is associated with severe constraints while deploying or scheduling a task. It is hence …

[HTML][HTML] Neural network inspired efficient scalable task scheduling for cloud infrastructure

P Gupta, A Anand, P Agarwal, G McArdle - Internet of Things and Cyber …, 2024 - Elsevier
The rapid development of Cloud Computing in the 21st Century is landmark occasion, not
only in the field of technology, but also in the field of engineering and services. The …

A Novel Fault-Tolerant Aware Task Scheduler Using Deep Reinforcement Learning in Cloud Computing

M Shiva Rama Krishna, S Mangalampalli - Applied Sciences, 2023 - mdpi.com
Task scheduling poses a wide variety of challenges in the cloud computing paradigm, as
heterogeneous tasks from a variety of resources come onto cloud platforms. The most …

Proteus: Distributed machine learning task scheduling based on Lyapunov optimization

Y Xiang, B Shi, C Zhang - 2021 IEEE International Conference …, 2021 - ieeexplore.ieee.org
With the prevalence of machine learning applications, an increasing number of machine
learning tasks is transplanted into cloud computing platform. The cloud for machine learning …

UDL: a cloud task scheduling framework based on multiple deep neural networks

Q Li, Z Peng, D Cui, J Lin, H Zhang - Journal of Cloud Computing, 2023 - Springer
Cloud task scheduling and resource allocation (TSRA) constitute a core issue in cloud
computing. Batch submission is a common user task deployment mode in cloud computing …

DSTS: A hybrid optimal and deep learning for dynamic scalable task scheduling on container cloud environment

S Muniswamy, R Vignesh - Journal of Cloud Computing, 2022 - Springer
Containers have grown into the most dependable and lightweight virtualization platform for
delivering cloud services, offering flexible sorting, portability, and scalability. In cloud …

Comparative study of task scheduling algorithms through cloudsim

R Pratap, T Zaidi - 2018 7th International Conference on …, 2018 - ieeexplore.ieee.org
Delivery of reliable services in cloud environment is a major issue. Reliability may be
achieved by implementing the fault tolerance. Due to the abundant growth of traffic and …

Framework for task scheduling in cloud using machine learning techniques

C Shetty, H Sarojadevi - 2020 Fourth International Conference …, 2020 - ieeexplore.ieee.org
Task scheduling plays a vital role in the function and performance of the cloud computing
system. While there exist many approaches for improving task scheduling in the cloud, it is …

Task scheduling in cloud using deep reinforcement learning

S Swarup, EM Shakshuki, A Yasar - Procedia Computer Science, 2021 - Elsevier
Cloud computing is an emerging technology used in many applications such as data
analysis, storage, and Internet of Things (IoT). Due to the increasing number of users in the …

Task scheduling based on hybrid algorithm for cloud computing

A Vijaya Krishna, S Ramasubbareddy… - … Conference on Intelligent …, 2020 - Springer
Transmission of data via internet is one of the great purposes of cloud computing is popular
for transferring and storing data via internet. The user can make use of cloud services …