COHEN, Ilan Reuven, COHEN, Izack and ZAKS, Iyar, 2024. A theoretical and empirical study of job scheduling in cloud computing environments: the weighted completion time minimization problem with capacitated parallel machines. Annals of Operations Research. 1 July 2024. Vol. 338, no. 1, p. 429-452. DOI 10.1007/s10479-023-05613-x.
Elsevier - Harvard (with titles)Cohen, I.R., Cohen, I., Zaks, I., 2024. A theoretical and empirical study of job scheduling in cloud computing environments: the weighted completion time minimization problem with capacitated parallel machines. Annals of Operations Research 338, 429-452. https://doi.org/10.1007/s10479-023-05613-x
American Psychological Association 7th editionCohen, I. R., Cohen, I., & Zaks, I. (2024). A theoretical and empirical study of job scheduling in cloud computing environments: the weighted completion time minimization problem with capacitated parallel machines. Annals of Operations Research, 338(1), 429-452. https://doi.org/10.1007/s10479-023-05613-x
Springer - Basic (author-date)Cohen IR, Cohen I, Zaks I (2024) A theoretical and empirical study of job scheduling in cloud computing environments: the weighted completion time minimization problem with capacitated parallel machines.. Annals of Operations Research 338:429-452. https://doi.org/10.1007/s10479-023-05613-x
Juristische Zitierweise (Stüber) (Deutsch)Cohen, Ilan Reuven/ Cohen, Izack/ Zaks, Iyar, A theoretical and empirical study of job scheduling in cloud computing environments: the weighted completion time minimization problem with capacitated parallel machines., Annals of Operations Research 2024, 429-452.