Title: SDG-Pro: a programming framework for software-defined IoT cloud gateways
Language: English
Authors: Nastic, Stefan 
Truong, Hong-Linh 
Dustdar, Schahram 
Category: Original Research Article
Issue Date: 2015
Nastic, S., Truong, H.-L., & Dustdar, S. (2015). SDG-Pro: a programming framework for software-defined IoT cloud gateways. Journal of Internet Services and Applications. https://doi.org/10.1186/s13174-015-0037-1
Journal: Journal of Internet Services and Applications
ISSN: 1869-0238
Recently, emerging IoT cloud systems create numerous opportunities for a variety of stakeholders in terms of optimizing their existing business processes, as well as developing novel cross-organization and cross-domain applications. However, developers of such systems face a plethora of challenges, mainly due to complex dependencies between the application business logic and the underlying IoT cloud infrastructure, as well as difficulties to provision and govern vast, geographically distributed IoT cloud resources. In this paper, we introduce SDG-Pro – a novel programming framework for software-defined IoT cloud systems. The main features of our framework include programming abstractions: Software-Defined Gateways, Intents, Intent Scopes, and Data and Control Points, as well as provisioning and governance APIs that allow for programmatic management of software-defined gateways throughout their entire lifecycle. The SDG-Pro framework enables easier, efficient and more intuitive development of IoT cloud applications. It promotes the everything-as-code paradigm for IoT cloud applications in order to provide a uniform, programmatic view on the entire development process. To illustrate the feasibility of our framework to support development of IoT cloud applications, we evaluate it using a real-world case study on managing fleets of electric vehicles.
Keywords: IoT cloud applications programming; Software-defined gateways; IoT cloud systems
DOI: 10.1186/s13174-015-0037-1
Library ID: AC11360016
URN: urn:nbn:at:at-ubtuw:3-1495
Organisation: E194 - Institut für Informationssysteme 
Publication Type: Article
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