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TOOM: Testing Orders of Magnitude Project

The TOOM project is planned to present a solution for testing robustness of cloud computing services build on top of P2P technology to address scalability and dynamism aspects. The main contributions lies on two main steps. The first one is to validate the overall resilience and reliability of cloud services. The second one is to reproduce large-scale stress loads, such as Distributed Denial of Service (DDoS) and peak loads, either gathered from the real load traces or synthetically generated. We plan to leverage data warehouse technology to house real load traces and use them during testing. To generate synthetic loads, we plan to use known load patterns or adapt them to new load trends.

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Publications

  • Model-Based Testing of Global Properties on Large-Scale Distributed Systems. Gerson Sunyé url; Eduardo Cunha De Almeida; Yves Le Traon; Benoit Baudry; Jean-Marc Jézéquel. Information and Software Technology, Elsevier, 749-762 (2014). (doi)
  • Intra-query Adaptivity for MapReduce Query Processing Systems. Edson Ramiro Lucas Filho; Eduardo Cunha De Almeida url; Yves Le Traon. IDEAS 2014 : 18th International Database Engineering & Applications Symposium, 2014, 380-381. (PDF)
  • A State Machine for Database Non-functional Testing. Jorge Augusto Meira; Eduardo Cunha De Almeida url; Yves Le Traon. IDEAS 2014 : 18th International Database Engineering & Applications Symposium, 2014, 378-379. (PDF)
  • Generic cloud platform multi-objective optimization leveraging models@run.time. Donia El Kateb, François Fouquet, Grégory Nain, Jorge Augusto Meira, Michel Ackerman, Yves Le Traon: SAC 2014: 343-350 (doi)
  • Under Pressure Benchmark for DDBMS Availability. Alessandro Gustavo Fior; Jorge Augusto Meira; Eduardo Cunha De Almeida url; Ricardo Gonçalves Coelho; Marcos Didonet Del Fabro; Yves Le Traon. JIDM, SBC, 266-278 (2013). (PDF)
  • Stress Testing of Transactional Database Systems. Jorge Augusto Meira; Eduardo Cunha De Almeida url; Gerson Sunyé; Yves Le Traon; Patrick Valduriez. Journal of Information and Data Management - JIDM, SBC, 279-294 (2013). (PDF)