TY - GEN
T1 - Reliability for the edge-cloud computing network
AU - Ya-Ting, Liao
AU - Cheng-Fu, Huang
AU - Ding-Hsiang, Huang
AU - Yi-Kuei, Lin
N1 - Publisher Copyright:
© 2021 Proceedings - 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021. All rights reserved.
PY - 2021
Y1 - 2021
N2 - This paper proposes an algorithm to assess the performance of a cloud-fog computing system by constructing a stochastic-flow cloud-fog computing network (SCCN) model. There are three phases of transmitting data: The first is to transmit data from the IoT devices to the fog servers. The next phase and last phases are transmitting a part of the data from the fog servers to the cloud servers for the further operations and back to the IoT devices for the immediate operations, respectively. Based on the transmission mechanisms, two demands, including initial demands and processed demands, should be satisfied simultaneously, where an initial demand is outing from an IoT device. The algorithm proposed in this paper could calculate reliability, the probability of successfully transmitting the data through the SCCN, by elucidating the flow relation among all equipment with IoT devices, edge servers, and cloud servers. Furthermore, another approach to adjust the flow assignment is also proposed for the case that demand may not be an integer.
AB - This paper proposes an algorithm to assess the performance of a cloud-fog computing system by constructing a stochastic-flow cloud-fog computing network (SCCN) model. There are three phases of transmitting data: The first is to transmit data from the IoT devices to the fog servers. The next phase and last phases are transmitting a part of the data from the fog servers to the cloud servers for the further operations and back to the IoT devices for the immediate operations, respectively. Based on the transmission mechanisms, two demands, including initial demands and processed demands, should be satisfied simultaneously, where an initial demand is outing from an IoT device. The algorithm proposed in this paper could calculate reliability, the probability of successfully transmitting the data through the SCCN, by elucidating the flow relation among all equipment with IoT devices, edge servers, and cloud servers. Furthermore, another approach to adjust the flow assignment is also proposed for the case that demand may not be an integer.
KW - Flow generation
KW - Processed demand
KW - Reliability evaluation
KW - Stochastic-flow cloud-fog computing network (sccn)
KW - Transmission mechanisms
UR - http://www.scopus.com/inward/record.url?scp=85114273949&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85114273949
T3 - Proceedings - 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021
SP - 54
EP - 58
BT - Proceedings - 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021
A2 - Pham, Hoang
PB - International Society of Science and Applied Technologies
T2 - 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021
Y2 - 5 August 2021 through 7 August 2021
ER -