Abstract
Due to the diversity of resources and different management requirements, Cloud management is faced with great challenges in complexity and difficulty. For constructing a management system to satisfy a specific management requirement, a redevelopment solution based on existing system is usually more practicable than developing the system from scratch. However, the difficulty and workload of redevelopment are very high. In this paper, we present a runtime model based approach to managing diverse Cloud resources. First, we construct the runtime model of each kind of Cloud resources. Second, we construct the composite runtime model of all managed resources through model merge. Third, we make Cloud management meet personalized requirements through model transformation from the composite model to the customized models. Finally, all the management tasks can be carried out through executing operating programs on the customized model. The feasibility and efficiency of the approach are validated through a real case study.
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Zhang, X. et al. (2013). Runtime Model Based Management of Diverse Cloud Resources. In: Moreira, A., Schätz, B., Gray, J., Vallecillo, A., Clarke, P. (eds) Model-Driven Engineering Languages and Systems. MODELS 2013. Lecture Notes in Computer Science, vol 8107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41533-3_35
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DOI: https://doi.org/10.1007/978-3-642-41533-3_35
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