Abstract
Ensuring resilience of large data stores in the cloud is a challenging engineering issue. It requires the development techniques that allow the designers to predict the main resilience characteristics — fault tolerance and performance — at the early design stages. In this paper, we experiment with integrating Event-B modelling with discrete-event simulation. Event-B allows us to reason about correctness and data integrity properties of data stores, while discrete-event simulation in SimPy enables quantitative assessment of performance and reliability. Since testing in a real cloud environment is expensive and time-consuming, the proposed approach offers several benefits in industrial settings.
| Original language | Undefined/Unknown |
|---|---|
| Title of host publication | Integrated Formal Methods, 11th International Conference, IFM 2014, Bertinoro, Italy, September 9-11, 2014, Proceedings |
| Editors | E Albert, E Sekerinski |
| Publisher | Springer |
| Pages | 103–119 |
| ISBN (Electronic) | 978-3-319-10181-1 |
| ISBN (Print) | 978-3-319-10180-4 |
| DOIs | |
| Publication status | Published - 2014 |
| MoE publication type | A4 Article in a conference publication |
| Event | conference; 2014-09-09; 2014-09-11 - Bertinoro, Italy Duration: 9 Sept 2014 → 11 Sept 2014 |
Conference
| Conference | conference; 2014-09-09; 2014-09-11 |
|---|---|
| Period | 09/09/14 → 11/09/14 |
Keywords
- Event-B
- discrete-event simulation
- formal modelling
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver