Huge amount of heterogeneous sensed data needs the cloud

Abstract

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 decisionmaker, 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.

The Role of Advanced Sensing in Smart Cities

“…An example of Cloud architecture to solve the high volume data issue, named CLEVER, is presented in [43]. This architecture allows the virtualization of different types of sensing structures so that a common interface can be used for multiple sensor networks.…”

Big Data Storage in the Cloud for Smart Environment Monitoring

“…Indeed, the design of powerful storage systems can efficiently handle the requirements of big data applications and Cloud computing is expected to play a significant role in IoT paradigm. Indeed, Cloud storage offers huge amount of storage and processing capabilities in a scalable way 5 . Thus, we designed a monitoringoriented Cloud architecture for the storage of big data, that can be exploited for the development of application and services useful in many different applications for smart environments (e.g., smart cities, homeland security, disaster prevention, etc.).…”

A proximity-based indoor navigation system tackling the COVID-19 social distancing measures

“…Our solution implements a multi-layer communication infrastructure integrating IoT, Edge and Cloud systems, as shown in Figure 1 where also the main architectural components of our solution are drawn. In particular, at the IoT layer, a proximity-oriented beacon technology based on low cost devices and the Bluetooth Low Energy (BLE) short-range wireless communication technology are used to transparently interact with users and to identify their position in the building; at the Edge layer, solutions for tracking user movements and supporting his/her indoor navigation are implemented; at the Cloud layer, cloud based processing capabilities are exploited to compute the best path, also cross-relating all the information gathered from different users and the monitored environment [10]. Details on architectural components are provided below and their mutual interactions are shown in the flow diagram in Figure 2.…”