2015 IEEE 8th International Conference on Cloud Computing (CLOUD) (2015)
New York City, NY, USA
June 27, 2015 to July 2, 2015
Pervasive computational ecosystems that combine data sources and computing/communication resources in self-managed environments, such as the ones powered by Internet of Things (IoT) devices, have the potential to automate and facilitate many aspects of our lives, and impact a variety of applications, from the management of extreme events to the optimization of everyday processes. However, this vision remains mostly unrealized despite the fact that the technology to achieve it exists, largely because of the gap between our ability to collect data and our ability to gain insight from it. In this paper, we discuss the challenges associated with providing a pervasive computational ecosystem. We then present our vision of how to best support data-driven computational ecosystems and propose a conceptual architecture that leverages ideas from software-defined environments in order to combine data, computing, and communication resources. In addition, we show how this proposed architecture enables the execution of data-driven workflows on top of these resources.
Ecosystems, Computer architecture, Distributed databases, Uncertainty, Dynamic scheduling, Computational modeling, Runtime
M. Parashar, M. Abdelbaky, M. Zou, A. R. Zamani and J. Diaz-Montes, "Realizing the Potential of IoT Using Software-Defined Ecosystems," 2015 IEEE 8th International Conference on Cloud Computing (CLOUD), New York City, NY, USA, 2015, pp. 1149-1158.