International Journal of Control, volume 90, issue 3, pages 492-503
An approximate dynamic programming approach to resource management in multi-cloud scenarios
Publication type: Journal Article
Publication date: 2016-07-27
Journal:
International Journal of Control
Q2
Q3
SJR: 0.862
CiteScore: 5.0
Impact factor: 1.6
ISSN: 00207179, 13665820
Computer Science Applications
Control and Systems Engineering
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GOST
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Pietrabissa A. et al. An approximate dynamic programming approach to resource management in multi-cloud scenarios // International Journal of Control. 2016. Vol. 90. No. 3. pp. 492-503.
GOST all authors (up to 50)
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Pietrabissa A., Priscoli F. D., Di Giorgio A., Giuseppi A., Panfili M., Suraci V. An approximate dynamic programming approach to resource management in multi-cloud scenarios // International Journal of Control. 2016. Vol. 90. No. 3. pp. 492-503.
Cite this
RIS
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TY - JOUR
DO - 10.1080/00207179.2016.1185802
UR - https://doi.org/10.1080/00207179.2016.1185802
TI - An approximate dynamic programming approach to resource management in multi-cloud scenarios
T2 - International Journal of Control
AU - Pietrabissa, Antonio
AU - Priscoli, Francesco Delli
AU - Di Giorgio, Alessandro
AU - Giuseppi, Alessandro
AU - Panfili, Martina
AU - Suraci, Vincenzo
PY - 2016
DA - 2016/07/27
PB - Taylor & Francis
SP - 492-503
IS - 3
VL - 90
SN - 0020-7179
SN - 1366-5820
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2016_Pietrabissa,
author = {Antonio Pietrabissa and Francesco Delli Priscoli and Alessandro Di Giorgio and Alessandro Giuseppi and Martina Panfili and Vincenzo Suraci},
title = {An approximate dynamic programming approach to resource management in multi-cloud scenarios},
journal = {International Journal of Control},
year = {2016},
volume = {90},
publisher = {Taylor & Francis},
month = {jul},
url = {https://doi.org/10.1080/00207179.2016.1185802},
number = {3},
pages = {492--503},
doi = {10.1080/00207179.2016.1185802}
}
Cite this
MLA
Copy
Pietrabissa, Antonio, et al. “An approximate dynamic programming approach to resource management in multi-cloud scenarios.” International Journal of Control, vol. 90, no. 3, Jul. 2016, pp. 492-503. https://doi.org/10.1080/00207179.2016.1185802.