Semantics for Resource Selection in Next Generation Internet of Things Systems

Over the last two decades, the complexity and scale of computer systems radically increased. This is caused, mainly, by the proliferation of data to be processed, and the increasing number and heterogeneity of digital artifacts that can, and need, to be used for deployment of software components and for processing of data. Here, design paradigms, such as cloud/fog/edge processing, and construction of a computing continuum, are trends worth mentioning. Moreover, these changes should be seen also in the context of rapid acceptance of the Internet of Things, which combines very large numbers of sensors and actuators. These changes result also in new challenges that need to be tackled: dynamic environments, heterogeneous data models and processing elements, distributed execution of user workflows, etc. In this context, one of the crucial issues that needs to be addressed is the selection of the right resource(s) that can/should execute a given task/workflow. One of the approaches that can be considered to address such challenges is application of semantic data processing. In this contribution potential benefits and limitations of application of semantic technologies are discussed.