Deadline guarantee for scientific workflow using dynamic scheduling algorithms on IaaS clouds
Many important scientific applications can be expressed as workflows, which describe the relationship between individual computational tasks and their input and output data in a declarative way. This enables workflows to be automatically adapted to run across different environments. For complex work...
Saved in:
Main Author: | Alqaisy, Sarah Abdulrahman Shukur |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Online Access: | http://psasir.upm.edu.my/id/eprint/69013/1/FSKTM%202018%2046%20-%20IR.pdf http://psasir.upm.edu.my/id/eprint/69013/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Scheduling tight deadlines for scientific workflows in the cloud
by: Bajaher, Awadh Salem Saleh
Published: (2018) -
A fault-intrusion-tolerant system and deadline-aware algorithm for scheduling scientific workflow in the cloud
by: Farid, Mazen, et al.
Published: (2021) -
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
by: Murad S.S., et al.
Published: (2023) -
Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment
by: Farid, Mazen, et al.
Published: (2020) -
A heuristics-based cost model for scientific workflow scheduling in cloud
by: Al-Khanak, Ehab Nabiel, et al.
Published: (2021)