Bridging Concepts and Practice in eScience via Simulation-driven Engineering

The CyberInfrastructure (CI) has been the object of intensive research and development in the last decade, resulting in a rich set of abstractions and interoperable software implementations that are used in production today for supporting ongoing and breakthrough scientific discoveries. A key challenge is the development of tools and application execution frameworks that are robust in current and emerging CI configurations, and that can anticipate the needs of upcoming CI applications. This paper presents WRENCH, a framework that enables simulation- driven engineering for evaluating and developing CI application execution frameworks. WRENCH provides a set of high- level simulation abstractions that serve as building blocks for developing custom simulators. These abstractions rely on the scalable and accurate simulation models that are provided by the SimGrid simulation framework. Consequently, WRENCH makes it possible to build, with minimum software development effort, simulators that that can accurately and scalably simulate a wide spectrum of large and complex CI scenarios. These simulators can then be used to evaluate and/or compare alternate platform, system, and algorithm designs, so as to drive the development of CI solutions for current and emerging applications.

Simulation-driven engineering life cycle

Reference to the paper:

  • [PDF] [DOI] R. Ferreira da Silva, H. Casanova, R. Tanaka, and F. Suter, “Bridging Concepts and Practice in eScience via Simulation-driven Engineering,” in Workshop on Bridging from Concepts to Data and Computation for eScience (BC2DC’19), 15th International Conference on eScience (eScience), 2019, p. 609–614.
    [Bibtex]
    @inproceedings{ferreiradasilva2019escience,
    title = {Bridging Concepts and Practice in eScience via Simulation-driven Engineering},
    author = {Ferreira da Silva, Rafael and Casanova, Henri and Tanaka, Ryan and Suter, Frederic},
    booktitle = {Workshop on Bridging from Concepts to Data and Computation for eScience (BC2DC'19), 15th International Conference on eScience (eScience)},
    year = {2019},
    pages = {609--614},
    doi = {10.1109/eScience.2019.00084}
    }


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