End-to-End Delay Minimization for Scientific Workflows in Clouds under Budget Constraint is a research paper published in IEEE Transactions on Cloud Computing (2015). On theSindex it has a DataRank of 0.694. It has been cited 101 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.694
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →U.S. Department of Energy’s Office of Science
Grant: DE-SC0010641
University of Memphis
Grant: DE-AC02-98CH10886
Laboratory Directed Research and Development
Grant: LDRD-13-017
FWCI
27.66
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals