Standard

Study of fog computing structure. / Khakimov, Abdukodir; Muthanna, Ammar; Muthanna, Mohammed Saleh Ali.

Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018. ed. / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2018. p. 51-54 (Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Khakimov, A, Muthanna, A & Muthanna, MSA 2018, Study of fog computing structure. in S Shaposhnikov (ed.), Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018. Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 51-54, 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018, St. Petersburg and Moscow, Russian Federation, 29/01/18. https://doi.org/10.1109/EIConRus.2018.8317028

APA

Khakimov, A., Muthanna, A., & Muthanna, M. S. A. (2018). Study of fog computing structure. In S. Shaposhnikov (Ed.), Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018 (pp. 51-54). (Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EIConRus.2018.8317028

Vancouver

Khakimov A, Muthanna A, Muthanna MSA. Study of fog computing structure. In Shaposhnikov S, editor, Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 51-54. (Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018). https://doi.org/10.1109/EIConRus.2018.8317028

Author

Khakimov, Abdukodir ; Muthanna, Ammar ; Muthanna, Mohammed Saleh Ali. / Study of fog computing structure. Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018. editor / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 51-54 (Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018).

BibTeX

@inproceedings{fa64552bec5641999f57ed9fe705c13e,
title = "Study of fog computing structure",
abstract = "The future Internet structure will be based on cloud computing. With the increase of the mobile traffic, the transmission of an huge amount of data to the cloud was not only a difficult task for the communication channel bandwidth, but also caused delays in transmission and a decline in the quality of services for the end user. With the growth of the role of mobile traffic, the support of mobility and geometric distribution is no less important. For this reason, the emergence of cloud computing as a comprehensive approach for the centralized storage, retrieval and management of information, the successful integration of cloud computing and mobile applications, is an important task. To solve such problems, Cisco introduced a concept of fog computing, designed for local processing of some tasks on fog devices. The fog layer consists of geo-allocated servers that are deployed on the network periphery. Each fog server is a lightweight version of the cloud server, and is equipped with a large data warehouse and the ability to compute and wireless transmission. In this paper, the authors emulated the operation of network nodes under fog computing conditions.",
keywords = "Cloud, fog computing, modeling, structure",
author = "Abdukodir Khakimov and Ammar Muthanna and Muthanna, {Mohammed Saleh Ali}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018 ; Conference date: 29-01-2018 Through 01-02-2018",
year = "2018",
month = mar,
day = "14",
doi = "10.1109/EIConRus.2018.8317028",
language = "English",
series = "Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "51--54",
editor = "S. Shaposhnikov",
booktitle = "Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018",
address = "United States",

}

RIS

TY - GEN

T1 - Study of fog computing structure

AU - Khakimov, Abdukodir

AU - Muthanna, Ammar

AU - Muthanna, Mohammed Saleh Ali

N1 - Publisher Copyright: © 2018 IEEE.

PY - 2018/3/14

Y1 - 2018/3/14

N2 - The future Internet structure will be based on cloud computing. With the increase of the mobile traffic, the transmission of an huge amount of data to the cloud was not only a difficult task for the communication channel bandwidth, but also caused delays in transmission and a decline in the quality of services for the end user. With the growth of the role of mobile traffic, the support of mobility and geometric distribution is no less important. For this reason, the emergence of cloud computing as a comprehensive approach for the centralized storage, retrieval and management of information, the successful integration of cloud computing and mobile applications, is an important task. To solve such problems, Cisco introduced a concept of fog computing, designed for local processing of some tasks on fog devices. The fog layer consists of geo-allocated servers that are deployed on the network periphery. Each fog server is a lightweight version of the cloud server, and is equipped with a large data warehouse and the ability to compute and wireless transmission. In this paper, the authors emulated the operation of network nodes under fog computing conditions.

AB - The future Internet structure will be based on cloud computing. With the increase of the mobile traffic, the transmission of an huge amount of data to the cloud was not only a difficult task for the communication channel bandwidth, but also caused delays in transmission and a decline in the quality of services for the end user. With the growth of the role of mobile traffic, the support of mobility and geometric distribution is no less important. For this reason, the emergence of cloud computing as a comprehensive approach for the centralized storage, retrieval and management of information, the successful integration of cloud computing and mobile applications, is an important task. To solve such problems, Cisco introduced a concept of fog computing, designed for local processing of some tasks on fog devices. The fog layer consists of geo-allocated servers that are deployed on the network periphery. Each fog server is a lightweight version of the cloud server, and is equipped with a large data warehouse and the ability to compute and wireless transmission. In this paper, the authors emulated the operation of network nodes under fog computing conditions.

KW - Cloud

KW - fog computing

KW - modeling

KW - structure

UR - http://www.scopus.com/inward/record.url?scp=85048183332&partnerID=8YFLogxK

U2 - 10.1109/EIConRus.2018.8317028

DO - 10.1109/EIConRus.2018.8317028

M3 - Conference contribution

AN - SCOPUS:85048183332

T3 - Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018

SP - 51

EP - 54

BT - Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018

A2 - Shaposhnikov, S.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018

Y2 - 29 January 2018 through 1 February 2018

ER -

ID: 87325107