  IoT emerges as an unprecedented paradigm with great potential for changing
how people interact, think and live. It is making existing Internet services
feasible in ways that were previously impossible, as well as paving the way for
new situation-awareness applications suitable for smart cities, such as
realtime video surveillance, traffic control, and emergency management. These
applications will typically rely on large numbers of IoT devices to collect and
collaboratively process streamed data to enable real-time decision making. In
this paper, we introduce the concept of Semantic Virtual Space (SVS), an
abstraction for virtualized cloud-enabled IoT infrastructure that is
commensurate with the goals and needs of these emerging smart city
applications, and propose and discuss scalable architectures and mechanisms
that enable and automate the deployment and management of multiple SVS
instances on top of the cloud-enabled IoT infrastructure.
