Data Orchestration for Urban Computing through Fog Computing

Abstract

In an Urban Computing, there are several sensors producing a huge amount of data from an Intelligent Transportation System. These data can be difficult to process, analyze and store even for Cloud Computing. Thus, Fog Computing, as an extension of Cloud Computing, is used to perform perform services directly at the edge of the network, providing low latency and real-time computing. In this case, Fog can provide infrastructure to store and process data for decision making, even if autonomously, regardless of the state of the Cloud infrastructure. In this way, this project aims to foment research in Cloud Computing, under the angle of Fog Computing, through the study, proposition and evaluation of techniques that seek to contribute state-of-the-art in the fundamental issue of data produced from a Intelligent Transportation System. The overall goal of this project is to reduce the volume of data and increase the relevance before to sent them to the Cloud. For this, a mechanism will be developed to deal with data orchestration, identifying which part of the data load will be handled by edge computing resources and which part will be handled by the Cloud. Finally, it should be noted that this proposal is linked to the thematic project financed by FAPESP (process: 2015/24494-8).