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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Rendeiro, J. M. A., Marinheiro, R. N., Moura, J. A. & Silva, J. C. (2012). An adaptive management proposal for optimizing the performance of a virtualized computing environment. In 2nd Mosharaka International Conference on Communications and Signal Processing. Barcelona: Mosharaka for Research and Studies.
Exportar Referência (IEEE) 
J. Rendeiro et al.,  "An adaptive management proposal for optimizing the performance of a virtualized computing environment", in 2nd Mosharaka Int. Conf. on Communications and Signal Processing, Barcelona, Mosharaka for Research and Studies, 2012
Exportar BibTeX 
@inproceedings{rendeiro2012_1732215007104,
	author = "Rendeiro, J. M. A. and Marinheiro, R. N. and Moura, J. A. and Silva, J. C.",
	title = "An adaptive management proposal for optimizing the performance of a virtualized computing environment",
	booktitle = "2nd Mosharaka International Conference on Communications and Signal Processing",
	year = "2012",
	editor = "",
	volume = "",
	number = "",
	series = "",
	publisher = "Mosharaka for Research and Studies",
	address = "Barcelona",
	organization = "Mosharaka for Research and Studies",
	url = "https://www.mosharaka.net/?Area=Conferences&Page=ConfSite&Conf=28"
}
Exportar RIS 
TY  - CPAPER
TI  - An adaptive management proposal for optimizing the performance of a virtualized computing environment
T2  - 2nd Mosharaka International Conference on Communications and Signal Processing
AU  - Rendeiro, J. M. A.
AU  - Marinheiro, R. N.
AU  - Moura, J. A.
AU  - Silva, J. C.
PY  - 2012
SN  - 2227-331X
CY  - Barcelona
UR  - https://www.mosharaka.net/?Area=Conferences&Page=ConfSite&Conf=28
AB  - The number of virtualized servers is overtaking, by a large amount, the number of physical servers. One of the drawbacks of this new scenario is a much more complex computing infrastructure to manage. In this way, the current paper proposes a adaptive management prototype that controls a virtualized environment. This prototype guarantees an adaptive and automatic solution that efficiently supervises and controls any virtualized environment, without almost any human intervention. In addition, it manages the relevant physical computing resources allocated to each virtual machine, like memory and processing power. The results from our prototype suggest that it is possible to balance memory among various machines and perform an effective control of each machine's workload, with a simple and low cost solution for our initial problem.
ER  -