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:
主要作者: | Alqaisy, Sarah Abdulrahman Shukur |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2018
|
主題: | |
在線閱讀: | http://psasir.upm.edu.my/id/eprint/69013/1/FSKTM%202018%2046%20-%20IR.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Scheduling tight deadlines for scientific workflows in the cloud
由: Bajaher, Awadh Salem Saleh
出版: (2018) -
Dynamic load balancing algorithm based on deadline constrained in cloud environment
由: Mansur, Muzzammil
出版: (2019) -
Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements
由: Ramadhan, Mazen Farid Ebrahim
出版: (2022) -
Completion time driven hyper-heuristic approach for optimisation of scientific workflow scheduling in cloud environment /
由: Mohammad, Ehab Nabiel
出版: (2018) -
Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing
由: Oke, Omotayo Patrick
出版: (2019)