Efficient Hybrid DDPG Task Scheduler for HPC and HTC in Cloud Environment
Task Scheduling is a crucial challenge in cloud computing as diversified tasks come rapidly onto cloud console dynamically from heterogeneous resources which consists of different task lengths, processing capacities. Generating schedules for these type of tasks is a challenge for Cloud Service Provi...
Saved in:
| Main Authors: | S. Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, Atif M. Alamri, Salman A. Alqahtani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10614579/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive Task Scheduling in Fog Computing Using Federated DQN and K-Means Clustering
by: Prashanth Choppara, et al.
Published: (2025-01-01) -
A Hybrid Task Scheduling Technique in Fog Computing Using Fuzzy Logic and Deep Reinforcement Learning
by: Prashanth Choppara, et al.
Published: (2024-01-01) -
Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing
by: Sudheer Mangalampalli, et al.
Published: (2024-01-01) -
Resource Adaptive Automated Task Scheduling Using Deep Deterministic Policy Gradient in Fog Computing
by: Prashanth Choppara, et al.
Published: (2025-01-01) -
An Improved Dingo Optimization for Resource Aware Scheduling in Cloud Fog Computing Environment
by: Santhosh Kumar Medishetti, et al.
Published: (2024-02-01)