Name
Abstract | ||
|---|---|---|
However, this assumption is over-optimistic, because of numerous dependen-cies between the subsystems. Using the tool OpenSESAME (Simple but Exten-sive Structured Availability Modeling Environment [2, 4]), these dependencies can be taken into account leading to much more realistic and trustworthy re-sults. In contrast to modeling environments which use Markov Chains, Petri nets or stochastic process algebras as their input formalism, the learning curve of OpenSESAME is smooth: Users start with regular block diagrams and can extend them by dependencies without having to learn new formalisms. |
Year | Venue | Keywords |
|---|---|---|
2006 | MMB | learning curve,petri net,markov chain,high availability,availability |
Field | DocType | Citations |
Computer science,Stochastic Petri net,High availability,Distributed computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Max Walter | 1 | 54 | 9.17 |
| Carsten Trinitis | 2 | 151 | 29.80 |