Title :
Realizing the Potential of IoT Using Software-Defined Ecosystems
Author :
Parashar, Manish ; Abdelbaky, Moustafa ; Mengsong Zou ; Zamani, Ali Reza ; Diaz-Montes, Javier
Author_Institution :
Rutgers Discovery Inf. Inst., Rutgers Univ., Piscataway, NJ, USA
Abstract :
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.
Keywords :
Internet of Things; cloud computing; Internet of Things devices; IoT; optimization; pervasive computational ecosystems; software-defined ecosystems; Computational modeling; Computer architecture; Distributed databases; Dynamic scheduling; Ecosystems; Runtime; Uncertainty; Autonomics; Cloud computing; Data-driven workflows; Federated computing; Internet of Things; Software-defined environments; Software-defined infrastructure; Software-defined networks;
Conference_Titel :
Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4673-7286-2
DOI :
10.1109/CLOUD.2015.169