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Cost and Time Economical Planning Algorithm for Scientific Workflows in Cloud Computing
2021
Future Internet
A heterogeneous system can be portrayed as a variety of unlike resources that can be locally or geologically spread, which is exploited to implement data-intensive and computationally intensive applications. The competence of implementing the scientific workflow applications on heterogeneous systems is determined by the approaches utilized to allocate the tasks to the proper resources. Cost and time necessity are evolving as different vital concerns of cloud computing environments such as data
doi:10.3390/fi13100263
fatcat:r63zkxustnbdrbhjak6nqy4aye