Continuous Deployment of Trustworthy Smart IoT Systems.

Ferry, Nicolas; Nguyen, Phu H.; Song, Hui; Rios, Erkuden; Iturbe, Eider; Martinez, Satur; Rego, Angel

doi:10.5381/jot.2020.19.2.a16

Cited by 12 publications

(15 citation statements)

References 6 publications

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“…-Deployer is an instance of GeneSIS [6] -a tool to support the orchestration and deployment of IoT software systems across the Cloud-Edge-IoT continuum. GeneSIS includes: (i) a domain-specific modelling language to specify the deployment of IoT systems on Cloud, Edge and IoT infrastructures, including devices with no or limited access to the Internet, and (ii) a models@run.time deployment engine responsible for orchestration, deployment, and adaptation.…”

Section: B the Serverless4iot Gatewaymentioning

confidence: 99%

Towards a Model-Based Serverless Platform for the Cloud-Edge-IoT Continuum

Ferry

Dautov

Song

2022

2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

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One of the most prominent implementations of the serverless programming model is Function-as-a-Service (FaaS). Using FaaS, application developers provide source code of serverless functions, typically describing only parts of a larger application, and define triggers for executing these functions on infrastructure components managed by the FaaS provider. There are still challenges that hinder the wider adoption of the FaaS model across the whole Cloud-Edge-IoT continuum. These include the high heterogeneity of the Edge and IoT infrastructure, vendor lock-in, the need to deploy and adapt serverless functions as well as their supporting services and software stacks into their cyber-physical execution environment. As a first step towards addressing these challenges, we introduce the SERVERLESS4IOT platform for the design, deployment, and maintenance of applications over the Cloud-Edge-IoT continuum. In particular, our platform enables the specification and deployment of serverless functions on Cloud and Edge resources, as well as the deployment of their supporting services and software stacks over the whole Cloud-Edge-IoT continuum.

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Section: B the Serverless4iot Gatewaymentioning

confidence: 99%

Towards a Model-Based Serverless Platform for the Cloud-Edge-IoT Continuum

Ferry

Dautov

Song

2022

2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

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“…GeneSIS is a generic solution for the automatic deployment of IoT-edge-cloud applications. In this section, we first briefly summarize the main concepts of the language and the engine (more details can be found in our earlier publication [31]), with the help of the motivating RPM example, and then focus on the features specific to the device deployment problem in the fleet deployment context.…”

Section: Modelling Language and Engine For Device Deploymentmentioning

confidence: 99%

“…Figure 2 shows the GeneSIS meta-model, which specifies the main concepts of the modelling language and the relations between the concepts. The complete description of the metamodel can be found in [31].…”

Section: The Genesis Modelling Language For Device Deploymentmentioning

confidence: 99%

“…Then, the engine converts the difference between the two models into a sequence of deployment actions, such as provisioning resources and instantiating software components. Further details of these actions can be found in [31]. After the deployment, the engine synchronizes the current Gene-SIS model with the actual deployment result.…”

Section: Genesis Deployment Enginementioning

confidence: 99%

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Model-based fleet deployment in the IoT–edge–cloud continuum

et al. 2022

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With the increasing computing and networking capabilities, IoT devices and edge gateways have become part of a larger IoT–edge–cloud computing continuum, where processing and storage tasks are distributed across the whole network hierarchy, not concentrated only in the cloud. At the same time, this also introduced continuous delivery practices to the development of software components for network-connected gateways and sensing/actuating nodes. These devices are placed on end users’ premises and are characterized by continuously changing cyber-physical contexts, forcing software developers to maintain multiple application versions and frequently redeploy them on a distributed fleet of devices with respect to their current contexts. Doing this correctly and efficiently goes beyond manual capabilities and requires an intelligent and reliable automated solution. This paper describes a model-based approach to automatically assigning multiple software deployment plans to hundreds of edge gateways and connected IoT devices implemented in collaboration with a smart healthcare application provider. From a platform-specific model of an existing edge computing platform, we extract a platform-independent model that describes a list of target devices and a pool of available deployment plans. Next, we use constraint solving to automatically assign deployment plans to devices at once with respect to their specific contexts. The result is transformed back into the platform-specific model and includes a suitable deployment plan for each device, which is then consumed by our engine to deploy software components not only on edge gateways but also on their downstream IoT devices with constrained resources and connectivity. We validate the approach with a fleet deployment prototype integrated into a DevOps toolchain used by the partner application provider. Initial experiments demonstrate the viability of the approach and its usefulness in supporting DevOps for edge and IoT software development.

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“…To enable more advanced assignment at the fleet level, we are also experimenting with the constraint solving [20] and combinatorial optimisation [23] techniques. 4) GeneSIS for enacting firmware updates: to implement the final step, we relied on our software deployment tool GeneSIS [24], [25]. GeneSIS is a toolkit for continuous orchestration and deployment of software components across the IoT-Edge-Cloud computing continuum.…”

Section: B Proof Of Conceptmentioning

confidence: 99%

Towards a Sustainable IoT with Last-Mile Software Deployment

Dautov

Song

Ferry

2021

2021 IEEE Symposium on Computers and Communications (ISCC)

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The ubiquitous presence of billions of sensor-enabled IoT devices actively contributes to the generation of extreme amounts of electronic waste. To a great extent, this is caused by the low cost and short lifespan of electronic components, as a result of which it is often more convenient for consumers to buy a new device instead of re-using or recycling the old one. With the increased computing and connectivity capabilities, however, individual IoT devices are already capable to communicate with a local network gateway to receive code updates and thus extend their lifespan. This paper describes how these capabilities can be exploited to enable last-mile software deployment at scale. We propose a hierarchical architecture, in which software updates from the cloud are provisioned to terminal devices via edge gateways in a scalable and targeted manner. By enabling such an end-to-end software deployment architecture, the approach promotes hardware re-use and re-purposing and thus contributes to the creation of a more sustainable IoT.

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Continuous Deployment of Trustworthy Smart IoT Systems.

Cited by 12 publications

References 6 publications

Towards a Model-Based Serverless Platform for the Cloud-Edge-IoT Continuum

Towards a Model-Based Serverless Platform for the Cloud-Edge-IoT Continuum

Model-based fleet deployment in the IoT–edge–cloud continuum

Towards a Sustainable IoT with Last-Mile Software Deployment

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