| Autor: |
Andrey Brito, Clenimar Souza, Gabriel Vinha, Lilia Sampaio |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Anais Estendidos do XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC Estendido 2019). |
| DOI: |
10.5753/sbrc_estendido.2019.7774 |
| Popis: |
The massive amount of information being generated nowadays results in the need for efficient data processing frameworks. For sensitive information, concerns also emerge regarding data integrity and confidentiality. To address such concerns, we present Asperathos, a configurable framework to automate the execution of batch applications in cloud environments while complying with QoS goals and processing potentially sensitive data. Our demonstration leverages tools such as Kubernetes and Intel SGX in a smart grid scenario, computing the power consumption from a dataset containing detailed measurements of users. We illustrate Asperathos features through the integration with both a command line and a web-based interface. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
