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CCGRID
2008
IEEE
13 years 11 months ago
Data Management Challenges of Data-Intensive Scientific Workflows
Scientific workflows play an important role in today’s science. Many disciplines rely on workflow technologies to orchestrate the execution of thousands of computational tasks. ...
Ewa Deelman, Ann L. Chervenak
CYBERC
2011
143views more  CYBERC 2011»
12 years 4 months ago
Opportunities and Challenges in Running Scientific Workflows on the Cloud
— Cloud computing is gaining tremendous momentum in both academia and industry. The application of Cloud computing, however, has mostly focused on Web applications and business a...
Yong Zhao, Xubo Fei, Ioan Raicu, Shiyong Lu
CCGRID
2010
IEEE
13 years 1 months ago
File-Access Characteristics of Data-Intensive Workflow Applications
This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensiv...
Takeshi Shibata, SungJun Choi, Kenjiro Taura
HPDC
2010
IEEE
13 years 5 months ago
Biocompute: towards a collaborative workspace for data intensive bio-science
The explosion of data in the biological community demands the development of more scalable and flexible portals for bioinformatic computation. To address this need, we put forth c...
Rory Carmichael, Patrick Braga-Henebry, Douglas Th...
SIGMOD
2008
ACM
145views Database» more  SIGMOD 2008»
13 years 4 months ago
Provenance and scientific workflows: challenges and opportunities
Provenance in the context of workflows, both for the data they derive and for their specification, is an essential component to allow for result reproducibility, sharing, and know...
Susan B. Davidson, Juliana Freire