Scheduling of scientific workflows in the ASKALON grid environment
By Marek Wieczorek, Radu Prodan, Thomas Fahringer. SGMD, 2005
378 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/7be3b202518bcce34c1b0b5224508bed7fca2294
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Jia Yu
- Rajkumar Buyya
- Selim G. Akl
- Fangpeng Dong
- Marty A. Humphrey
- Ming Mao
- Sarbjeet Singh
- Mala Kalra
In Hardware and Architecture
In Information Systems and Management
- Jia Yu
- Rajkumar Buyya
- Selim G. Akl
- Fangpeng Dong
- Marty A. Humphrey
- Ming Mao
- Sarbjeet Singh
- Mala Kalra
Citations in the corpus
- Scheduling Algorithms for Grid Computing: State of the Art and Open Problems (2006, methodology): “This weakness is also demonstrated in [110].”
- A data placement strategy in scientific cloud workflows (2010, neutral): “For example, Kepler [3] has an actor-oriented data modelling method that works for large data in a grid environment, Taverna [4] and ASKALON [25] have their own process defi-nitionlanguagetorepresenttheirdataflows.”
- Scheduling scientific workflow applications with deadline and budget constraints using genetic algorithms (2006, methodology): “Another two workflow level heuristics have been employed by the ASKALON project [22,32].”