Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ding Hsiang Huang"'
Publikováno v:
IEEE Transactions on Reliability. 71:1355-1367
A cloud–fog computing system is modeled as a network topology where each edge represents a transmission line, and each node represents a hub, an Internet of Things (IoT) device, a fog server, or a cloud server. Such a system with several capacities
Publikováno v:
Quality Technology & Quantitative Management. 19:362-378
Network reliability prediction for random capacitated-flow networks via an artificial neural network
Publikováno v:
Reliability Engineering & System Safety. 237:109378
Publikováno v:
Annals of Operations Research.
Publikováno v:
Quality and Reliability Engineering International. 38:2953-2967
Publikováno v:
Mathematics, Vol 7, Iss 11, p 1115 (2019)
For stochastic flow network (SFN), given all the lower (or upper) boundary points, the classic problem is to calculate the probability that the capacity vectors are greater than or equal to the lower boundary points (less than or equal to the upper b
Externí odkaz:
https://doaj.org/article/5310758cf2ff454e914603f6904ae9da
Publikováno v:
Annals of Operations Research. 312:217-234
In this paper, a modern computer network, cloud-based network, which comprises internet of things (IoT), edge servers, and cloud servers for data transmission, is investigated and evaluated. A cloud-based network is modeled as a graph having a set of
Publikováno v:
IEEE Transactions on Reliability. 69:1087-1096
Network reliability evaluation for a stochastic flow network (SFN) can be computed in terms of all lower boundary points (LBPs). Although several algorithms have been presented in the literature as solutions for the LBP problem, the efficiency is alw
Publikováno v:
European Journal of Operational Research. 282:1107-1114
Real systems, such as computer systems, can be modeled as network topologies with vertices and edges. Owing to equipment failures and maintenance requirements, the capacities of edges have several states. Such systems are regarded as multi-state flow
Autor:
Ding-Hsiang Huang
Publikováno v:
SSRN Electronic Journal.