Scheduling tight deadlines for scientific workflows in the cloud
Cloud computing has increasingly become a demand for scientific computations as it provides users with simple access for computation. Commercial clouds are also used for scientific analysis and computation because of their scalability, latest high-quality hardware as well as pay-per-use cost model....
Saved in:
Main Author: | Bajaher, Awadh Salem Saleh |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/69027/1/FSKTM%202018%2054%20-%20IR.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deadline guarantee for scientific workflow using dynamic scheduling algorithms on IaaS clouds
by: Alqaisy, Sarah Abdulrahman Shukur
Published: (2018) -
Completion time driven hyper-heuristic approach for optimisation of scientific workflow scheduling in cloud environment /
by: Mohammad, Ehab Nabiel
Published: (2018) -
Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing
by: Oke, Omotayo Patrick
Published: (2019) -
Workflow system for MapReduce in cloud environment
by: Wadi, Muntadher Saadoon
Published: (2017) -
Dynamic load balancing algorithm based on deadline constrained in cloud environment
by: Mansur, Muzzammil
Published: (2019)