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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
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 -