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. ред. / O. Gervasi ; et al. Cham : Springer Nature, 2020. стр. 67-81 (Lecture Notes in Computer Science; Том 12254).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференцииРецензирование

Harvard

Bogdanov, A, Degtyarev, A, Shchegoleva, N, Khvatov, V & Korkhov, V 2020, Evolving Principles of Big Data Virtualization. в O Gervasi & et al. (ред.), Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI. Lecture Notes in Computer Science, Том. 12254, Springer Nature, Cham, стр. 67-81, 20th International Conference on Computational Science and Its Applications, ICCSA 2020, Cagliari, Италия, 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. в O. Gervasi , & et al. (Ред.), Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI (стр. 67-81). (Lecture Notes in Computer Science; Том 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. в Gervasi O, et al., Редакторы, Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI. Cham: Springer Nature. 2020. стр. 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. Редактор / O. Gervasi ; et al. Cham : Springer Nature, 2020. стр. 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 -

ID: 62784043