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Modeling and Evaluating the Effects of Big Data Storage Resource Allocation in Global Scale Cloud Architectures

Author

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  • Enrico Barbierato

    (Seconda Università degli Studi di Napoli, Caserta, Italy)

  • Marco Gribaudo

    (Politecnico di Milano, Milano, Italy)

  • Mauro Iacono

    (Seconda Università degli Studi di Napoli, Caserta, Italy)

Abstract

The availability of powerful, worldwide span computing facilities offering application scalability by means of cloud infrastructures perfectly matches the needs for resources that characterize Big Data applications. Elasticity of resources in the cloud enables application providers to achieve results in terms of complexity, performance and availability that were considered beyond affordability, by means of proper resource management techniques and a savvy design of the underlying architecture and of communication facilities. This paper presents an evaluation technique for the combined effects of cloud elasticity and Big Data oriented data management layer on global scale cloud applications, by modeling the behavior of both typical in memory and in storage data management.

Suggested Citation

  • Enrico Barbierato & Marco Gribaudo & Mauro Iacono, 2016. "Modeling and Evaluating the Effects of Big Data Storage Resource Allocation in Global Scale Cloud Architectures," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 12(2), pages 1-20, April.
    • Handle: RePEc:igg:jdwm00:v:12:y:2016:i:2:p:1-20
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