@techreport{oai:ipsj.ixsq.nii.ac.jp:00216792,
 author = {Hiroki, Kashiwazaki and Masahiro, Mizuta and Dai, Sato and Hiroki, Kashiwazaki and Masahiro, Mizuta and Dai, Sato},
 issue = {36},
 month = {Feb},
 note = {In a distributed system consisting of multiple computers and networks connecting them, failures can occur in each component with a certain probability. In the course of research and development to improve the operational quality of distributed systems, the author focused on the relationship between the probability of failure and the operational quality of distributed systems. And the author also proposed an index to evaluate the resilience of services based on the multiple failure probability of circuits and the failure probability of services running on distributed systems. However, this proposal only considered resilience under limited circumstances with limited fault representation and limited-service continuity requirements. In addition, since the computational complexity increases exponentially with the size and complexity of the target network, only small-scale systems can be used to complete the evaluation in real-time. In this paper, we formulate this problem as a discrete-structure problem and use existing discrete-structure processing systems to evaluate resilience under various combinations of failure representations and different service continuity conditions. At the same time, we aim to expand the concept of distributed systems and promote its application to natural disaster prevention and mitigation., In a distributed system consisting of multiple computers and networks connecting them, failures can occur in each component with a certain probability. In the course of research and development to improve the operational quality of distributed systems, the author focused on the relationship between the probability of failure and the operational quality of distributed systems. And the author also proposed an index to evaluate the resilience of services based on the multiple failure probability of circuits and the failure probability of services running on distributed systems. However, this proposal only considered resilience under limited circumstances with limited fault representation and limited-service continuity requirements. In addition, since the computational complexity increases exponentially with the size and complexity of the target network, only small-scale systems can be used to complete the evaluation in real-time. In this paper, we formulate this problem as a discrete-structure problem and use existing discrete-structure processing systems to evaluate resilience under various combinations of failure representations and different service continuity conditions. At the same time, we aim to expand the concept of distributed systems and promote its application to natural disaster prevention and mitigation.},
 title = {Resilience Evaluation by SLA of Line Connectivity Using Discrete Structure Processing System},
 year = {2022}
}