Asperathos: Running QoS-Aware Sensitive Batch Applications with Intel SGX

  • Lília Rodrigues Sampaio Universidade Federal de Campina Grande
  • Clenimar Souza Universidade Federal de Campina Grande
  • Gabriel Silva Vinha Universidade Federal de Campina Grande
  • Andrey Brito Universidade Federal de Campina Grande


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.


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SAMPAIO, Lília Rodrigues; SOUZA, Clenimar; VINHA, Gabriel Silva; BRITO, Andrey. Asperathos: Running QoS-Aware Sensitive Batch Applications with Intel SGX. In: SALÃO DE FERRAMENTAS - SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 2. , 2019, Gramado. Anais Estendidos do XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Porto Alegre: Sociedade Brasileira de Computação, sep. 2019 . p. 89-96. ISSN 2177-9384. DOI: