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 provide limited results due to inappropriate resource scheduling. Additionally, these algorithms cannot process tasks generat...
Main Authors: | Prathamesh Lahande, Parag Kaveri, Jatinderkumar Saini |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-08-01
|
Series: | Informatics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9709/10/3/64 |
Similar Items
-
Reinforcement Learning Approach for Optimizing Cloud Resource Utilization With Load Balancing
by: Prathamesh Vijay Lahande, et al.
Published: (2023-01-01) -
Implementing FCFS and SJF for finding the need of Reinforcement Learning in Cloud Environment
by: Lahande Prathamesh, et al.
Published: (2022-01-01) -
Fault Tolerance of Cloud Infrastructure with Machine Learning
by: Kalaskar Chetankumar, et al.
Published: (2023-11-01) -
Scheduling framework based on reinforcement learning in online-offline colocated cloud environment
by: Ling MA, et al.
Published: (2023-06-01) -
Scheduling framework based on reinforcement learning in online-offline colocated cloud environment
by: Ling MA, et al.
Published: (2023-06-01)