Sensing as a Service: An Architecture Proposal for Big Data Environments in Smart Cities

摘要

This paper proposes an architecture capable of responding to the acquisition, processing and storage of information using as reference data of the Smart City, for this purpose it will suggest the use of certain technologies to be used together to meet the needs of a Smart City. A new Cloud Computing paradigm will be used, Sensing as a Service increasing the amount of data recovered and processed to add more value to the system. It proposes the creation of an open, flexible, extensible and self-adaptive architecture in a Big Data environment, capable of providing the acquisition and processing of large volumes of information while maintaining reliability and availability, as well as allowing easy adaptation in terms of scalability.