Standard
Evolving Principles of Big Data Virtualization. / Bogdanov, Alexander ; Degtyarev, Alexander ; Shchegoleva, Nadezhda ; Khvatov, Valery ; Korkhov, Vladimir .
Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI. ed. / O. Gervasi ; et al. Cham : Springer Nature, 2020. p. 67-81 (Lecture Notes in Computer Science; Vol. 12254).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Bogdanov, A, Degtyarev, A, Shchegoleva, N, Khvatov, V
& Korkhov, V 2020,
Evolving Principles of Big Data Virtualization. in O Gervasi & et al. (eds),
Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI. Lecture Notes in Computer Science, vol. 12254, Springer Nature, Cham, pp. 67-81, 20th International Conference on Computational Science and Its Applications, ICCSA 2020, Cagliari, Italy,
1/07/20.
https://doi.org/10.1007/978-3-030-58817-5_6
APA
Bogdanov, A., Degtyarev, A., Shchegoleva, N., Khvatov, V.
, & Korkhov, V. (2020).
Evolving Principles of Big Data Virtualization. In O. Gervasi , & et al. (Eds.),
Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI (pp. 67-81). (Lecture Notes in Computer Science; Vol. 12254). Springer Nature.
https://doi.org/10.1007/978-3-030-58817-5_6
Vancouver
Bogdanov A, Degtyarev A, Shchegoleva N, Khvatov V
, Korkhov V.
Evolving Principles of Big Data Virtualization. In Gervasi O, et al., editors, Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI. Cham: Springer Nature. 2020. p. 67-81. (Lecture Notes in Computer Science).
https://doi.org/10.1007/978-3-030-58817-5_6
Author
Bogdanov, Alexander ; Degtyarev, Alexander ; Shchegoleva, Nadezhda ; Khvatov, Valery
; Korkhov, Vladimir . /
Evolving Principles of Big Data Virtualization. Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI. editor / O. Gervasi ; et al. Cham : Springer Nature, 2020. pp. 67-81 (Lecture Notes in Computer Science).
BibTeX
@inproceedings{08676c50de994b34b378e24b32a9da3a,
title = "Evolving Principles of Big Data Virtualization",
abstract = "The fact that over 2000 programs exist for working with various types of data, including Big Data, makes the issue of flexible storage a quintessential one. Storage can be of various types, including portals, archives, showcases, data bases of different varieties, data clouds and networks. They can have synchronous or asynchronous computer connections. Because the type of data is frequently unknown a priori, there is a necessity for a highly flexible storage system, which would allow to easily switch between various sources and systems. Combining the concept of virtual personal supercomputer with the classification of Big Data that accounts for different storage schemes would solve this issue.",
keywords = "Big Data, Data marketplaces, Data network, Data virtualization, Virtual personal supercomputer",
author = "Alexander Bogdanov and Alexander Degtyarev and Nadezhda Shchegoleva and Valery Khvatov and Vladimir Korkhov",
note = "Bogdanov A., Degtyarev A., Shchegoleva N., Khvatov V., Korkhov V. (2020) Evolving Principles of Big Data Virtualization. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12254. Springer, Cham. https://doi.org/10.1007/978-3-030-58817-5_6; 20th International Conference on Computational Science and Its Applications, ICCSA 2020 ; Conference date: 01-07-2020 Through 04-07-2020",
year = "2020",
doi = "10.1007/978-3-030-58817-5_6",
language = "English",
isbn = "978-3-030-58816-8",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "67--81",
editor = "{Gervasi }, O. and {et al.}",
booktitle = "Computational Science and Its Applications – ICCSA 2020",
address = "Germany",
url = "http://iccsa.org/",
}
RIS
TY - GEN
T1 - Evolving Principles of Big Data Virtualization
AU - Bogdanov, Alexander
AU - Degtyarev, Alexander
AU - Shchegoleva, Nadezhda
AU - Khvatov, Valery
AU - Korkhov, Vladimir
N1 - Bogdanov A., Degtyarev A., Shchegoleva N., Khvatov V., Korkhov V. (2020) Evolving Principles of Big Data Virtualization. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12254. Springer, Cham. https://doi.org/10.1007/978-3-030-58817-5_6
PY - 2020
Y1 - 2020
N2 - The fact that over 2000 programs exist for working with various types of data, including Big Data, makes the issue of flexible storage a quintessential one. Storage can be of various types, including portals, archives, showcases, data bases of different varieties, data clouds and networks. They can have synchronous or asynchronous computer connections. Because the type of data is frequently unknown a priori, there is a necessity for a highly flexible storage system, which would allow to easily switch between various sources and systems. Combining the concept of virtual personal supercomputer with the classification of Big Data that accounts for different storage schemes would solve this issue.
AB - The fact that over 2000 programs exist for working with various types of data, including Big Data, makes the issue of flexible storage a quintessential one. Storage can be of various types, including portals, archives, showcases, data bases of different varieties, data clouds and networks. They can have synchronous or asynchronous computer connections. Because the type of data is frequently unknown a priori, there is a necessity for a highly flexible storage system, which would allow to easily switch between various sources and systems. Combining the concept of virtual personal supercomputer with the classification of Big Data that accounts for different storage schemes would solve this issue.
KW - Big Data
KW - Data marketplaces
KW - Data network
KW - Data virtualization
KW - Virtual personal supercomputer
UR - http://www.scopus.com/inward/record.url?scp=85092637963&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-58817-5_6
DO - 10.1007/978-3-030-58817-5_6
M3 - Conference contribution
SN - 978-3-030-58816-8
T3 - Lecture Notes in Computer Science
SP - 67
EP - 81
BT - Computational Science and Its Applications – ICCSA 2020
A2 - Gervasi , O.
A2 - et al.,
PB - Springer Nature
CY - Cham
T2 - 20th International Conference on Computational Science and Its Applications, ICCSA 2020
Y2 - 1 July 2020 through 4 July 2020
ER -
