The trending evolution towards the Internet of things and the general increase in broadband are constantly creating large volumes of data that need to be processed to extract further knowledge. Recently, the cloud computing model has seen the evolution from the initial scenario of a public cloud offering its resources to customers through virtualization and Internet, toward the concept of hybrid cloud, where the classic scenario is enriched with a private (company owned) cloud e.g., for the management of sensible data. In this work, we propose a software layer for the deployment and dynamic scaling of virtual clusters on a hybrid cloud. This system can be used for cloud bursting in the context of big data applications. Our work shows that although the execution is significantly influenced by the inter-cloud bandwidth, a dynamic off-premise provisioning mechanism could allow the user to significantly increase the application performance.
A Hybrid Cloud Infrastructure for Big Data Applications / Loreti, Daniela; Ciampolini, Anna. - STAMPA. - (2015), pp. 7336418.1713-7336418.1718. (Intervento presentato al convegno 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 tenutosi a New York, NY, USA nel 2015) [10.1109/HPCC-CSS-ICESS.2015.140].
A Hybrid Cloud Infrastructure for Big Data Applications
LORETI, DANIELA;CIAMPOLINI, ANNA
2015
Abstract
The trending evolution towards the Internet of things and the general increase in broadband are constantly creating large volumes of data that need to be processed to extract further knowledge. Recently, the cloud computing model has seen the evolution from the initial scenario of a public cloud offering its resources to customers through virtualization and Internet, toward the concept of hybrid cloud, where the classic scenario is enriched with a private (company owned) cloud e.g., for the management of sensible data. In this work, we propose a software layer for the deployment and dynamic scaling of virtual clusters on a hybrid cloud. This system can be used for cloud bursting in the context of big data applications. Our work shows that although the execution is significantly influenced by the inter-cloud bandwidth, a dynamic off-premise provisioning mechanism could allow the user to significantly increase the application performance.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
