Examining the Challenges of Scientific Workflows
By Yolanda Gil, Ewa Deelman, Mark Ellisman, Thomas Fahringer, Geoffrey C. Fox, Dennis Gannon, Carole A. Goble, Miron Livny, L. Moreau, J. Myers. 2007
620 citations recorded by the source corpus.
Workflows have emerged as a paradigm for representing and managing complex distributed computations and are used to accelerate the pace of scientific progress. A recent National Science Foundation workshop brought together domain, computer, and social scientists to discuss requirements of future scientific applications and the challenges they present to current workflow technologies.
Subfields: Computer Networks and Communications, Information Systems, Information Systems and Management
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
- Rajkumar Buyya
- Juliana Freire
- Arindam Banerjee
- Yolanda Gil
- Vipin Kumar
- Anuj Karpatne
- Ben Clifford
- Gowtham Atluri
In Information Systems
- Juliana Freire
- Vipin Kumar
- Arindam Banerjee
- Yolanda Gil
- Michael S. Steinbach
- Rajkumar Buyya
- Anuj Karpatne
- Ben Clifford
In Information Systems and Management
- Michael S. Steinbach
- Vipin Kumar
- Rajkumar Buyya
- Yolanda Gil
- Carl Boettiger
- Jia Yu
- Inderveer Chana
- Sukhpal Singh
Citations in the corpus
- Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2016, background): “, the design of scientific work-flows [83], [84] or the generation of model simulations [85].”
- An introduction to Docker for reproducible research (2014, background): “Nonetheless, most workflow systems struggle with relatively low total adoption overall [5, 9].”
- A Particle Swarm Optimization-Based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments (2010, background): “As a result, analysis of their datasets is represented and structured as scientific workflows [7].”
- The Open Provenance Model core specification (v1.1) (2011, background): “Interest for provenance in the “e-science community” [2] is also growing, since provenance is perceived as a crucial component of workflow systems [3] that can help scientists ensure reproducibility of their scientific analyses and processes.”