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| Author: | Vaccari, Alberto |
| Title: | An Architecture for Scalable Simulations |
| Publication type: | Master's thesis |
| Publication year: | 2016 |
| Pages: | (6) + 50 Language: eng |
| Department/School: | Perustieteiden korkeakoulu |
| Main subject: | Embedded Systems (SCI3024) |
| Supervisor: | Saikkonen, Heikki |
| Instructor: | Hirvisalo, Vesa |
| Electronic version URL: | http://urn.fi/URN:NBN:fi:aalto-201611025357 |
| Location: | P1 Ark Aalto 4764 | Archive |
| Keywords: | scalable architectures kubernetes docker |
| Abstract (eng): | Simulations, useful in emergency prevention and response, can range from using completely local data to requiring constantly up-to-date sensor information. With increasingly accurate simulations, there is also increased strain on the server providing the information, especially when considering multiple simulations being ran at the same time. This study wants to focus on evaluating different server architectures under different levels of stress to find the most robust solutions. The comparison will be made by changing the architectures while keeping the core structure and hardware characteristics the same. The architectures under test include a standalone server, docker containers and Kubernetes pods. The evaluation of the architectures will take into account the number of requests correctly handled, the number of mishandled and not handled ones, and their average response time. |
| ED: | 2016-11-13 |
INSSI record number: 54889
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