TY - GEN
T1 - Reliability Evaluation for a Cloud Computer Network with Fog Computing
AU - Chen, Yi Fan
AU - Huang, Ding Hsiang
AU - Huang, Cheng Fu
AU - Lin, Yi Kuei
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - The most recent and important developments in the field of computer networks are cloud and fog computing. In this study, modern cloud computer networks comprising computers, internet of things (IoT), fog servers, and cloud servers for data transmission, is investigated. A cloud computer networks can be modeled as a network with nodes and arcs, in which each arc represents a transmission line, and each node represents an IoT device, a fog server, or a cloud server. Each transmission line has several possible capacities and is regarded as a multistate. The network is termed a multi-state cloud computer network (MCCN). this study firstly constructs the mathematic model to elucidate the flow relationship among the IoT devices, edge servers, and cloud servers and subsequently develop an algorithm to evaluate the performance of the MCCN by calculating network reliability which is defined as the probability of the data being successfully processed by the MCCN.
AB - The most recent and important developments in the field of computer networks are cloud and fog computing. In this study, modern cloud computer networks comprising computers, internet of things (IoT), fog servers, and cloud servers for data transmission, is investigated. A cloud computer networks can be modeled as a network with nodes and arcs, in which each arc represents a transmission line, and each node represents an IoT device, a fog server, or a cloud server. Each transmission line has several possible capacities and is regarded as a multistate. The network is termed a multi-state cloud computer network (MCCN). this study firstly constructs the mathematic model to elucidate the flow relationship among the IoT devices, edge servers, and cloud servers and subsequently develop an algorithm to evaluate the performance of the MCCN by calculating network reliability which is defined as the probability of the data being successfully processed by the MCCN.
KW - Cloud computing
KW - Fog computing
KW - IoT
KW - Multi state
KW - Network reliability
KW - Performance evaluation
UR - http://www.scopus.com/inward/record.url?scp=85099378361&partnerID=8YFLogxK
U2 - 10.1109/QRS-C51114.2020.00119
DO - 10.1109/QRS-C51114.2020.00119
M3 - Conference contribution
AN - SCOPUS:85099378361
T3 - Proceedings - Companion of the 2020 IEEE 20th International Conference on Software Quality, Reliability, and Security, QRS-C 2020
SP - 682
EP - 683
BT - Proceedings - Companion of the 2020 IEEE 20th International Conference on Software Quality, Reliability, and Security, QRS-C 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Conference on Software Quality, Reliability, and Security, QRS 2020
Y2 - 11 December 2020 through 14 December 2020
ER -