Modeling and evaluating the effects of Big Data storage resource allocation in global scale cloud architectures

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