Multi-Objective Approach for Energy-Aware Workflow Scheduling in Cloud Computing Environments
We address the problem of scheduling workflow applications on heterogeneous computing systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a complex optimization problem which requires considering different criteria so as to meet a large number of QoS (Quality o...
Saved in:
| Main Authors: | Sonia Yassa, Rachid Chelouah, Hubert Kadima, Bertrand Granado |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/350934 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Effective QoS-Aware Hybrid Optimization Approach for Workflow Scheduling in Cloud Computing
by: Min Cui, et al.
Published: (2025-07-01) -
A parallel multi-objective genetic algorithm for scheduling scientific workflows in cloud computing
by: Muhammad Sardaraz, et al.
Published: (2020-08-01) -
Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing
by: Sudheer Mangalampalli, et al.
Published: (2024-01-01) -
Cost-aware cloud workflow scheduling using DRL and simulated annealing
by: Yan Gu, et al.
Published: (2024-12-01) -
Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing
by: Abdolreza Pirhoseinlo, et al.
Published: (2024-02-01)