Huge amount of heterogeneous sensed data needs the cloud

Cloud Technology might be used for processing and storing the huge amount of data generated from users and thousands of heterogeneous kind of sensors deployed all around. In the near future, the simple use of the cloud ”elasticity”, where computation and storage resources can be on-demand resized, might be not useful enough to support the increasing rate of data production. In this work we introduce a new cloud architecture able to virtualize different types of sensing infrastructures in ”virtual sensing elements”, adding new capabilities of data processing. This architecture named CLEVER is capable to analyze and filter data from sensor networks and provide them through advanced services, in order to avoid the rough flooding of data within the cloud. CLEVER has a peripheral decision-maker, able to interact with SNs, and a high level intelligence, able to meet the new requirements of sensed environments, and the manipulation of data. The efficient communication system at the base of CLEVER allows to efficiently manage resources and services, balancing data offerings and demands.