Dynamic Task Allocation for Data-Intensive Workflows in Cloud Environment
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-17642-6_23
Reference19 articles.
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3. Alkhanaka, E.N., Leea, S.P., Rezaeia, R., Parizi, R.M.: Cost optimization approaches for scientific workflow scheduling in cloud and grid computing: a review, classifications, and open issues. J. Syst. Softw. 113(3), 1–26 (2016)
4. Lecture Notes in Computer Science;J Lenhard,2018
5. Masdari, M., ValiKardan, S., Shahi, Z., Azar, S.I.: Towards workflow scheduling in cloud computing: a comprehensive analysis. J. Netw. Comput. Appl. 66, 64–82 (2016)
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