Reinforcement Learning for Reducing the Interruptions and Increasing Fault Tolerance in the Cloud Environment
Cloud computing delivers robust computational services by processing tasks on its virtual
machines (VMs) using resource-scheduling algorithms. The cloud's existing algorithms …
machines (VMs) using resource-scheduling algorithms. The cloud's existing algorithms …
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 …
heterogeneous tasks from a variety of resources come onto cloud platforms. The most …
Task scheduling mechanism based on reinforcement learning in cloud computing
Y Wang, S Dong, W Fan - Mathematics, 2023 - mdpi.com
The explosive growth of users and applications in IoT environments has promoted the
development of cloud computing. In the cloud computing environment, task scheduling plays …
development of cloud computing. In the cloud computing environment, task scheduling plays …
Reinforcement Learning Approach for Optimizing Cloud Resource Utilization With Load Balancing
Cloud computing is a technology that enables the delivery of various computing services
over the Internet. The Resource Scheduling (RS) and Load Balancing (LB) mechanisms are …
over the Internet. The Resource Scheduling (RS) and Load Balancing (LB) mechanisms are …
A reinforcement learning-based mixed job scheduler scheme for grid or IaaS cloud
D Cui, Z Peng, J Xiong, B Xu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Job scheduling is a necessary prerequisite for performance optimization and resource
management in the cloud computing system. Focusing on accurate scaled cloud computing …
management in the cloud computing system. Focusing on accurate scaled cloud computing …
Implementing FCFS and SJF for finding the need of Reinforcement Learning in Cloud Environment
Cloud has grown significantly and has become a popular serviceoriented paradigm offering
users a variety of services. The end-user submits requests to the cloud in the form of tasks …
users a variety of services. The end-user submits requests to the cloud in the form of tasks …
DFARM: a deadline-aware fault-tolerant scheduler for cloud computing
A Awan, M Aleem, A Hussain, R Prodan - Cluster Computing, 2024 - Springer
Cloud computing has become popular for small businesses due to its cost-effectiveness and
the ability to acquire necessary on-demand services, including software, hardware, network …
the ability to acquire necessary on-demand services, including software, hardware, network …
A novel reinforcement-learning-based approach to workflow scheduling upon infrastructure-as-a-service clouds
P Chen, Y Xia, C Yu - … Journal of Web Services Research (IJWSR), 2021 - igi-global.com
Recently, the cloud computing paradigm has become increasingly popular in large-scale
and complex workflow applications. The workflow scheduling problem, which refers to …
and complex workflow applications. The workflow scheduling problem, which refers to …
A novel deep reinforcement learning scheme for task scheduling in cloud computing
K Siddesha, GV Jayaramaiah, C Singh - Cluster computing, 2022 - Springer
Recently, the demand of cloud computing systems has increased drastically due to their
significant use in various real-time online and offline applications. Moreover, it is widely …
significant use in various real-time online and offline applications. Moreover, it is widely …
Cost-aware job scheduling for cloud instances using deep reinforcement learning
As the services provided by cloud vendors are providing better performance, achieving auto-
scaling, load-balancing, and optimized performance along with low infrastructure …
scaling, load-balancing, and optimized performance along with low infrastructure …