A Hierarchical Modeling and Analysis for Grid Service Reliability

2007 ◽  
Vol 56 (5) ◽  
pp. 681-691 ◽  
Author(s):  
Yuan-Shun Dai ◽  
Yi Pan ◽  
Xukai Zou
Keyword(s):  
Hierarchical Modeling ◽  
Grid Service ◽  
Service Reliability ◽  
Modeling And Analysis

Modeling and Analysis of Grid Service Reliability Considering Fault Recovery

2011 ◽  
Vol 29 (4) ◽  
pp. 345-364 ◽  
Author(s):  
Suchang Guo ◽  
Hong-Zhong Huang ◽  
Yu Liu
Keyword(s):  
Grid Service ◽  
Fault Recovery ◽  
Service Reliability ◽  
Modeling And Analysis

scholarly journals A Hierarchical Modeling and Analysis Framework for Availability and Security Quantification of IoT Infrastructures

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 155 ◽  
Author(s):  
Tuan Anh Nguyen ◽  
Dugki Min ◽  
Eunmi Choi
Keyword(s):  
Virtual Machine ◽  
Hierarchical Model ◽  
Hierarchical Modeling ◽  
Smart Factory ◽  
Analysis Framework ◽  
Security Measures ◽  
Modeling Framework ◽  
System Architectures ◽  
Modeling And Analysis

Modeling a complete Internet of Things (IoT) infrastructure is crucial to assess its availability and security characteristics. However, modern IoT infrastructures often consist of a complex and heterogeneous architecture and thus taking into account both architecture and operative details of the IoT infrastructure in a monolithic model is a challenge for system practitioners and developers. In that regard, we propose a hierarchical modeling framework for the availability and security quantification of IoT infrastructures in this paper. The modeling methodology is based on a hierarchical model of three levels including (i) reliability block diagram (RBD) at the top level to capture the overall architecture of the IoT infrastructure, (ii) fault tree (FT) at the middle level to elaborate system architectures of the member systems in the IoT infrastructure, and (iii) continuous time Markov chain (CTMC) at the bottom level to capture detailed operative states and transitions of the bottom subsystems in the IoT infrastructure. We consider a specific case-study of IoT smart factory infrastructure to demonstrate the feasibility of the modeling framework. The IoT smart factory infrastructure is composed of integrated cloud, fog, and edge computing paradigms. A complete hierarchical model of RBD, FT, and CTMC is developed. A variety of availability and security measures are computed and analyzed. The investigation of the case-study’s analysis results shows that more frequent failures in cloud cause more severe decreases of overall availability, while faster recovery of edge enhances the availability of the IoT smart factory infrastructure. On the other hand, the analysis results of the case-study also reveal that cloud servers’ virtual machine monitor (VMM) and virtual machine (VM), and fog server’s operating system (OS) are the most vulnerable components to cyber-security attack intensity. The proposed modeling and analysis framework coupled with further investigation on the analysis results in this study help develop and operate the IoT infrastructure in order to gain the highest values of availability and security measures and to provide development guidelines in decision-making processes in practice.

scholarly journals An Approach to Modeling and Analyzing Reliability for Microservice-Oriented Cloud Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Zheng Liu ◽  
Guisheng Fan ◽  
Huiqun Yu ◽  
Liqiong Chen
Keyword(s):  
High Performance ◽  
Fault Tolerant ◽  
Service Reliability ◽  
Architectural Style ◽  
Modeling And Analysis ◽  
User Request ◽  
Cloud Application ◽  
Cloud Applications ◽  
Microservice Architecture

Microservice architecture is a cloud-native architectural style, which has attracted extensive attention from the scientific research and industry communities to benefit independent development and deployment. However, due to the complexity of cloud-based platforms, the design of fault-tolerant strategies for microservice-oriented cloud applications becomes challenging. In order to improve the quality of service, it is essential to focus on the microservice with more criticality and maximize the reliability of the entire cloud application. This paper studies the modeling and analysis of service reliability in the cloud environment. Firstly, a formal description language is defined to model microservice, user request, and container accurately. Secondly, the reliability analysis is conducted to measure a critical microservice’s fluctuation and vibration attributes within a period, and the related properties of the constructed model are analyzed. Thirdly, a fault-tolerant strategy with redundancy operation has been proposed to optimize cloud application reliability. Finally, the effectiveness of the method is verified by experiments. The simulation results show that the algorithm obtains the maximum benefits and has high performance through several experiments.

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