Abstract Cloud Computing is a widely used computing model which enables customers to deliver services to their end users, with reduced IT management and costs. However, the deployment of applications for the cloud may require the design of the needed environment. CloudSim is a very well-known simulation tool to project these cloud scenarios. However, each scenario creation requires programming efforts that are time-consuming, error prone, not necessarily reusable and commonly only feasible for experienced programmers. This paper presents a tool to define cloud scenarios using YAML files and automates the creation of simulations at CloudSim. The use of human readable YAML data format allows the entire split of the scenario specification and the simulation execution and allows non-programmers to clear and directly define the simulation scenarios, facilitating the scenarios sharing, extension and reuse.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Human Readable Scenario Specification for Automated Creation of Simulations on CloudSim




    Erscheinungsdatum :

    01.01.2014


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Human Readable Scenario Specification for Automated Creation of Simulations on CloudSim

    Filho, M.C.S. / Rodrigues, J.J.P.C. | British Library Conference Proceedings | 2014


    A network migrating framework based on CloudSim

    Zhu, Leilei / Sui, Xin / Song, WenHao et al. | British Library Conference Proceedings | 2022


    Automated Scenario Generation for Human-in-the-Loop Simulations

    Chatterji, Gano Broto / Palopo, Kee / Zheng, Yun et al. | AIAA | 2018


    Automated Scenario Generation for Human-in-the-Loop Simulations

    Chatterji, Gano B. / Palopo, Kee / Zheng, Yun et al. | NTRS | 2018


    Automated Scenario Generation for Human-in-the-Loop Simulations

    Chatterji, Gano / Zheng, Yun / Palopo, Kee et al. | NTRS | 2018