Abstract
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.
Highlights
Emerging IoT cloud systems extend the traditional cloud computing systems beyond the data centers and cloud services to include a variety of edge IoT devices such as sensors and sensory gateways
As we have shown in [7], software-defined IoT cloud systems comprise a set of resource components, provided by IoT cloud infrastructure, which can be provisioned and governed at runtime
In our previous work [9, 10] we introduced a general approach for runtime operational governance in softwaredefined IoT cloud systems, as well as the concepts of operational governance processes that manipulate the states of software-defined gateways at runtime
Summary
Emerging IoT cloud systems extend the traditional cloud computing systems beyond the data centers and cloud services to include a variety of edge IoT devices such as sensors and sensory gateways. In order to facilitate development of IoT cloud systems, existing research and industry have produced numerous infrastructure, platform and software services as well as frameworks and tools [1,2,3,4,5,6]. These advances set a cornerstone for proliferation of (unified) IoT cloud platforms and infrastructures, which offer a myriad of IoT cloud. Concrete abstractions and mechanisms, which enable efficient, more intuitive and scalable application development still remain underdeveloped
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