Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Moises Levy"'
Publikováno v:
Cadernos de História da Educação, Vol 22 (2023)
O livro originou-se da dissertação de mestrado defendida em 2019 no Programa de Pós-graduação em Educação da Universidade do Estado do Pará. Nesta obra, Gercina Silva realiza uma minuciosa investigação sobre a educação de meninas indígen
Externí odkaz:
https://doaj.org/article/bcebfa7142b84628a2c3020d69aed381
Publikováno v:
Cadernos de História da Educação, Vol 20, Pp e039-e039 (2021)
O livro originou-se da dissertação de mestrado defendida em 2019 no Programa de Pós-graduação em Educação da Universidade do Estado do Pará. Nesta obra, Jane Buecke analisa os sentidos da infância, as práticas educativas e os saberes cultur
Externí odkaz:
https://doaj.org/article/44cfa35b0d5c4e18848442aaf9565eb4
Autor:
Moises Levy
Publikováno v:
American Journal of Science & Engineering. 1:11-20
Data center modeling and simulation help to estimate and predict key parameters under certain a-priori known conditions. Data center systems must adopt end-to-end resource management, covering both cyber and physical components. This paper describes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77ab90cb3b9ed74580558a643c64c566
https://doi.org/10.15864/ajse.1102
https://doi.org/10.15864/ajse.1102
Autor:
Moises Levy, Anitha Sarah Subburaj
Publikováno v:
CCWC
New and emerging technologies have consolidated the Fourth Industrial Revolution, an era of cyber-physical systems, where the physical and digital worlds are closely connected. While most of the world is being impacted by a pandemic, data centers hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a2125ee050a2ee7b0e2e8ff208a5dfe
https://doi.org/10.1109/ccwc51732.2021.9375837
https://doi.org/10.1109/ccwc51732.2021.9375837
Autor:
Moises Levy
Publikováno v:
UEMCON
Data center risk assessment must provide an understanding of the risks that the mission critical facility is exposed to. This paper proposes a novel framework for data center site risk assessment, as an important tool for data center due diligence. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a4368b143ade20546aa4e9fc9f89ef0
https://doi.org/10.1109/uemcon51285.2020.9298072
https://doi.org/10.1109/uemcon51285.2020.9298072
Autor:
Moises Levy, Jason O. Hallstrom
Publikováno v:
Advances in Science, Technology and Engineering Systems, Vol 2, Iss 3, Pp 1577-1584 (2017)
Recent standards, legislation, and best practices point to data center infrastructure management systems to control and monitor data center performance. This work presents an innovative approach to address some of the challenges that currently hinder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd0f087412645b6914143994db968ce7
https://doi.org/10.25046/aj0203196
https://doi.org/10.25046/aj0203196
Publikováno v:
CCWC
Data center systems must adopt end-to-end resource management, covering both cyber and physical components. Modeling data center components can help to estimate and predict key performance indicators under various assumptions. This paper describes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::360204f7acdf77d2d67a8c73e65a6097
https://doi.org/10.1109/ccwc.2019.8666523
https://doi.org/10.1109/ccwc.2019.8666523
Publikováno v:
CCWC
This paper describes data center simulations deployed in MATLAB and Simulink using a cyber-physical systems lens. The simulation models, developed in discrete and continuous time, contribute to the assessment of data centers under certain a-priori kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f437918a7c96973764d496c28a255f8
https://doi.org/10.1109/ccwc.2019.8666571
https://doi.org/10.1109/ccwc.2019.8666571
Publikováno v:
CCWC
This paper describes a predictive model using MATLAB machine learning tools for nonlinear regression, support vector machine and neural network. Data center performance measures such as run time, waiting time and energy consumption, are predicted bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::761afd2dd67e1f6a50f01128f2922c6e
https://doi.org/10.1109/ccwc.2019.8666624
https://doi.org/10.1109/ccwc.2019.8666624
Autor:
Daniel Raviv, Moises Levy
Publikováno v:
UEMCON
Given the mission critical nature of data centers, metrics must provide a holistic understanding of the data center behavior, which is only viable if risks to the actual operation are considered. This paper proposes a framework for measuring data cen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fce915b7461542af169940c316fdb82
https://doi.org/10.1109/uemcon.2017.8248970
https://doi.org/10.1109/uemcon.2017.8248970