AHN, Dong H., ZHANG, Xiaohua, MAST, Jeffrey, HERBEIN, Stephen, DI NATALE, Francesco, KIRSHNER, Dan, JACOBS, Sam Ade, KARLIN, Ian, MILROY, Daniel J., DE SUPINSKI, Bronis, VAN ESSEN, Brian, ALLEN, Jonathan und LIGHTSTONE, Felice C., 2022. Scalable Composition and Analysis Techniques for Massive Scientific Workflows. In: . 1 Oktober 2022.
Elsevier - Harvard (with titles)Ahn, D.H., Zhang, X., Mast, J., Herbein, S., Di Natale, F., Kirshner, D., Jacobs, S.A., Karlin, I., Milroy, D.J., De Supinski, B., Van Essen, B., Allen, J., Lightstone, F.C., 2022. Scalable Composition and Analysis Techniques for Massive Scientific Workflows, in: . https://doi.org/10.1109/e Science55777.2022.00018
American Psychological Association 7th editionAhn, D. H., Zhang, X., Mast, J., Herbein, S., Di Natale, F., Kirshner, D., Jacobs, S. A., Karlin, I., Milroy, D. J., De Supinski, B., Van Essen, B., Allen, J., & Lightstone, F. C. (2022, Oktober 1). Scalable Composition and Analysis Techniques for Massive Scientific Workflows. https://doi.org/10.1109/e Science55777.2022.00018
Springer - Basic (author-date)Ahn DH, Zhang X, Mast J, Herbein S, Di Natale F, Kirshner D, Jacobs SA, Karlin I, Milroy DJ, De Supinski B, Van Essen B, Allen J, Lightstone FC (2022) Scalable Composition and Analysis Techniques for Massive Scientific Workflows
Juristische Zitierweise (Stüber) (Deutsch)Ahn, Dong H./ Zhang, Xiaohua/ Mast, Jeffrey/ Herbein, Stephen/ Di Natale, Francesco/ Kirshner, Dan/ Jacobs, Sam Ade/ Karlin, Ian/ Milroy, Daniel J./ De Supinski, Bronis/ Van Essen, Brian/ Allen, Jonathan/ Lightstone, Felice C., Scalable Composition and Analysis Techniques for Massive Scientific Workflows, 2022, .