Name
Abstract | ||
|---|---|---|
Real-time data-processing applications, such as those developed using Apache Storm, need to address highly demanding performance requirements. Engineers should assess these performance requirements while they configure their Storm designs to specific execution contexts, i.e., multi-user private or public cloud infrastructures. To this end, we propose a quality-driven framework for Apache Storm, that covers the following steps. The design with UML, using a novel profile for Apache Storm, allowing performance metrics definition. The transformation of the design into a performance model, concretely stochastic Petri nets. Last but not least, the simulation of the performance model and the retrieval of performance results. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/IRI.2017.64 | 2017 IEEE International Conference on Information Reuse and Integration (IRI) |
Keywords | Field | DocType |
Apache Storm,Performance analysis,Petri net | Data mining,Petri net,Software engineering,Unified Modeling Language,Computer science,Parallel processing,Storm,Stochastic Petri net,Performance model,Operating system,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-1563-8 | 3 | 0.44 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Ignacio Requeno | 1 | 41 | 6.92 |
| José Merseguer | 2 | 448 | 39.45 |
| Simona Bernardi | 3 | 315 | 23.24 |