Evaluation Model of the Cloud Systems Based on Queuing Petri Net

Cao, Yangjie; Lu, Huimin; Shi, Xiaodong; Duan, Pengsong

doi:10.1007/978-3-319-27161-3_37

Cited by 5 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For analysis, the network computing system can be regarded as a service system. Stochastic queuing theory, which is developed based on theories of Poisson process and Markov process, plays an important role in the performance analysis of network service systems such as telephone and telegraph networks [ 10 ]. However, with the development of computer network systems, network structures and network applications have become more complicated and diverse.…”

Section: Introductionmentioning

confidence: 99%

Delay Analysis for End-to-End Synchronous Communication in Monitoring Systems

Cao

Wan

et al. 2018

Sensors

View full text Add to dashboard Cite

With the rapid development of smart grid technologies, communication systems are further integrated in the existing power grids. The real-time capability and reliability of the power applications are receiving increasing concerns. Thus, it is important to measure the end-to-end delay in communication systems. The network calculus theory has been widely applied in the communication delay measuring tasks. However, for better operation performance of power systems, most power applications require synchronous data communication, in which the network calculus theory cannot be directly applied. In this paper, we expand the network calculus theory such that it can be used to analyze the communication delay for power applications in smart grids. The problem of communication delay calculation for the synchronization system is converted into a maximum path problem in graph theory. Finally, our theoretical results are compared with the experimental ones obtained with the network simulation software EstiNet. The simulation results verify the feasibility and effectiveness of the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%