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  • TVT-Yang Chungang

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Resource Cube: Multi-Virtual Resource Management for Integrated Satellite-Terrestrial Industrial IoT Networks

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Resource Cube: Multi-Virtual Resource Management for Integrated Satellite-Terrestrial Industrial IoT Networks. / Chen, D.; Yang, C.; Gong, P. et al.
In: IEEE Transactions on Vehicular Technology, Vol. 69, No. 10, 22.10.2020, p. 11963-11974.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Chen, D, Yang, C, Gong, P, Chang, L, Shao, J, Ni, Q, Anpalagan, A & Guizani, M 2020, 'Resource Cube: Multi-Virtual Resource Management for Integrated Satellite-Terrestrial Industrial IoT Networks', IEEE Transactions on Vehicular Technology, vol. 69, no. 10, pp. 11963-11974. https://doi.org/10.1109/TVT.2020.3007263

APA

Chen, D., Yang, C., Gong, P., Chang, L., Shao, J., Ni, Q., Anpalagan, A., & Guizani, M. (2020). Resource Cube: Multi-Virtual Resource Management for Integrated Satellite-Terrestrial Industrial IoT Networks. IEEE Transactions on Vehicular Technology, 69(10), 11963-11974. https://doi.org/10.1109/TVT.2020.3007263

Vancouver

Chen D, Yang C, Gong P, Chang L, Shao J, Ni Q et al. Resource Cube: Multi-Virtual Resource Management for Integrated Satellite-Terrestrial Industrial IoT Networks. IEEE Transactions on Vehicular Technology. 2020 Oct 22;69(10):11963-11974. Epub 2020 Jul 6. doi: 10.1109/TVT.2020.3007263

Author

Chen, D. ; Yang, C. ; Gong, P. et al. / Resource Cube : Multi-Virtual Resource Management for Integrated Satellite-Terrestrial Industrial IoT Networks. In: IEEE Transactions on Vehicular Technology. 2020 ; Vol. 69, No. 10. pp. 11963-11974.

Bibtex

@article{1100503e43e94ccea5b50d3f3bdaccc5,
title = "Resource Cube: Multi-Virtual Resource Management for Integrated Satellite-Terrestrial Industrial IoT Networks",
abstract = "Industrial Internet of Things (IIoT) has found wider research, and satellite-terrestrial network (STN) can provide large-scale seamless connections for IIoT. With virtualization, we design resource cube to describe the integration and state of multi-dimensional virtual resources. To achieve higher resource utilization and smarter connections, we design a matching considered preferences (MCPR) algorithm to match IIoT nodes with service sides. The matching design considers the resource cube (MCRC) algorithm based on MCPR algorithm to lower the total system delay. In addition, in order to simplify the analysis of resource management, we adopt a layered architecture and multiple M/M/1 queuing models. We analyze the resource utilization and the total system delay for three different combinations of arrival rate and service rate of each resource cube. With MCRC algorithm, the utilization of resources is slightly reduced, while the total system delay is greatly reduced compared with MCPR algorithm. {\textcopyright} 1967-2012 IEEE.",
keywords = "Internet of Things, multi-virtual resource management, satellite-terrestrial network, virtualization, Geometry, Industrial research, Natural resources management, Queueing theory, Resource allocation, Design resources, Layered architecture, Multi dimensional, Resource management, Resource utilizations, Satellite-terrestrial network, Utilization of resources, Virtual resource management, Industrial internet of things (IIoT)",
author = "D. Chen and C. Yang and P. Gong and L. Chang and J. Shao and Q. Ni and A. Anpalagan and M. Guizani",
note = "{\textcopyright}2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2020",
month = oct,
day = "22",
doi = "10.1109/TVT.2020.3007263",
language = "English",
volume = "69",
pages = "11963--11974",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "10",

}

RIS

TY - JOUR

T1 - Resource Cube

T2 - Multi-Virtual Resource Management for Integrated Satellite-Terrestrial Industrial IoT Networks

AU - Chen, D.

AU - Yang, C.

AU - Gong, P.

AU - Chang, L.

AU - Shao, J.

AU - Ni, Q.

AU - Anpalagan, A.

AU - Guizani, M.

N1 - ©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2020/10/22

Y1 - 2020/10/22

N2 - Industrial Internet of Things (IIoT) has found wider research, and satellite-terrestrial network (STN) can provide large-scale seamless connections for IIoT. With virtualization, we design resource cube to describe the integration and state of multi-dimensional virtual resources. To achieve higher resource utilization and smarter connections, we design a matching considered preferences (MCPR) algorithm to match IIoT nodes with service sides. The matching design considers the resource cube (MCRC) algorithm based on MCPR algorithm to lower the total system delay. In addition, in order to simplify the analysis of resource management, we adopt a layered architecture and multiple M/M/1 queuing models. We analyze the resource utilization and the total system delay for three different combinations of arrival rate and service rate of each resource cube. With MCRC algorithm, the utilization of resources is slightly reduced, while the total system delay is greatly reduced compared with MCPR algorithm. © 1967-2012 IEEE.

AB - Industrial Internet of Things (IIoT) has found wider research, and satellite-terrestrial network (STN) can provide large-scale seamless connections for IIoT. With virtualization, we design resource cube to describe the integration and state of multi-dimensional virtual resources. To achieve higher resource utilization and smarter connections, we design a matching considered preferences (MCPR) algorithm to match IIoT nodes with service sides. The matching design considers the resource cube (MCRC) algorithm based on MCPR algorithm to lower the total system delay. In addition, in order to simplify the analysis of resource management, we adopt a layered architecture and multiple M/M/1 queuing models. We analyze the resource utilization and the total system delay for three different combinations of arrival rate and service rate of each resource cube. With MCRC algorithm, the utilization of resources is slightly reduced, while the total system delay is greatly reduced compared with MCPR algorithm. © 1967-2012 IEEE.

KW - Internet of Things

KW - multi-virtual resource management

KW - satellite-terrestrial network

KW - virtualization

KW - Geometry

KW - Industrial research

KW - Natural resources management

KW - Queueing theory

KW - Resource allocation

KW - Design resources

KW - Layered architecture

KW - Multi dimensional

KW - Resource management

KW - Resource utilizations

KW - Satellite-terrestrial network

KW - Utilization of resources

KW - Virtual resource management

KW - Industrial internet of things (IIoT)

U2 - 10.1109/TVT.2020.3007263

DO - 10.1109/TVT.2020.3007263

M3 - Journal article

VL - 69

SP - 11963

EP - 11974

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 10

ER -