Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Diana Carrizales"'
Autor:
Dante D. Sanchez-Gallegos, Alejandro Galaviz-Mosqueda, J. L. Gonzalez-Compean, Salvador Villarreal-Reyes, Aldo E. Perez-Ramos, Diana Carrizales-Espinoza, Jesus Carretero
Publikováno v:
IEEE Access, Vol 8, Pp 120255-120281 (2020)
The edge, the fog, the cloud, and even the end-user's devices play a key role in the management of the health sensitive content/data lifecycle. However, the creation and management of solutions including multiple applications executed by multiple use
Externí odkaz:
https://doaj.org/article/19ce0285aa364cd7ba69ffbb8b8417ce
Autor:
Alfredo Barron, Dante D. Sanchez-Gallegos, Diana Carrizales-Espinoza, J. L. Gonzalez-Compean, Miguel Morales-Sandoval
Publikováno v:
Sensors, Vol 22, Iss 18, p 7016 (2022)
Cloud storage has become a keystone for organizations to manage large volumes of data produced by sensors at the edge as well as information produced by deep and machine learning applications. Nevertheless, the latency produced by geographic distribu
Externí odkaz:
https://doaj.org/article/fb1b5269dfb246f599079f6521a6adff
Publikováno v:
2022 IEEE Mexican International Conference on Computer Science (ENC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3438b58e75b2436daeb0b5038a1696f8
https://doi.org/10.1109/enc56672.2022.9882938
https://doi.org/10.1109/enc56672.2022.9882938
Autor:
Diana Carrizales-Espinoza, Dante D. Sanchez-Gallegos, J. L. Gonzalez-Compean, Jesus Carretero, Ricardo Marcelin-Jimenez
Publikováno v:
2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f316eac65e328be5506c50b6fc91d76
https://doi.org/10.1109/pdp55904.2022.00022
https://doi.org/10.1109/pdp55904.2022.00022
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
PDP
instname
PDP
In organizational environments, such as in hospitals, data have to be processed, preserved, and shared with other organizations in a cost-efficient manner. Moreover, organizations have to accomplish different mandatory non-functional requirements imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a78766c6a33faf659ede28673796d772
https://hdl.handle.net/10016/33831
https://hdl.handle.net/10016/33831
Autor:
Jesus Carretero, J.L. Gonzalez-Compean, Salvador Villarreal-Reyes, Dante D. Sanchez-Gallegos, Diana Carrizales-Espinoza, Aldo E. Perez-Ramos, Alejandro Galaviz-Mosqueda
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
IEEE Access, Vol 8, Pp 120255-120281 (2020)
instname
IEEE Access, Vol 8, Pp 120255-120281 (2020)
The edge, the fog, the cloud, and even the end-user’s devices play a key role in the management of the health sensitive content/data lifecycle. However, the creation and management of solutions including multiple applications executed by multiple u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba6bf3f9db305c6a0d412cec6f70869d
https://hdl.handle.net/10016/33804
https://hdl.handle.net/10016/33804
Autor:
J.L. Gonzalez-Compean, Miguel Morales-Sandoval, Alejandro Galaviz-Mosqueda, Jesus Carretero, Diana Carrizales, Dante D. Sanchez-Gallegos, Hugo Reyes
Publikováno v:
Internet and Distributed Computing Systems ISBN: 9783030349134
IDCS
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
IDCS
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
In this paper, we present the design, implementation, and evaluation of an efficient data preparation and retrieval approach for cloud storage. The approach includes a deduplication subsystem that indexes the hash of each content to identify duplicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c543932667702ef1b3cb5a8eef1e11c
https://hdl.handle.net/10016/33790
https://hdl.handle.net/10016/33790
Autor:
Dante D. Sanchez-Gallegos, Diana Carrizales-Espinoza, Hugo G. Reyes-Anastacio, Jesus Carretero, J.L. Gonzalez-Compean, Miguel Morales-Sandoval, Alejandro Galaviz-Mosqueda
Publikováno v:
Simulation Modelling Practice and Theory. 105:102136
This paper presents a processing model for big IoT data. The model includes a continuous delivery scheme based on building blocks for constructing software pipelines from the edge to the cloud. It also includes a data preparation scheme based on para
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32b790ff5df029705276967ab3df7c42
https://doi.org/10.1016/j.simpat.2020.102136
https://doi.org/10.1016/j.simpat.2020.102136