Towards Automated IoT Application Deployment by a Cloud-Based Approach

Li, Fēi; Vögler, Michael; Claessens, Markus; Dustdar, Schahram

doi:10.1109/soca.2013.12

Cited by 56 publications

(30 citation statements)

References 7 publications

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“…Projects like SeaClouds [11], Aeolus [15] or Cloud4SOA [16], for instance, have proposed optimised planning solutions to deploy software systems to different (IaaS or PaaS) Clouds. [17] proposed to use OASIS TOSCA [18] to model IoT applications in IoT+Cloud scenarios. Recently, [19] have linked services and networks QoS by proposing a QoS-and connection-aware Cloud service composition approach to satisfy end-to-end QoS requirements in the Cloud.…”

Section: Related Workmentioning

confidence: 99%

QoS-Aware Deployment of IoT Applications Through the Fog

Brogi

Forti

2017

IEEE Internet Things J.

403

262

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Abstract-Fog computing aims at extending the Cloud by bringing computational power, storage and communication capabilities to the edge of the network, in support of the IoT. Segmentation, distribution and adaptive deployment of functionalities over the continuum from Things to Cloud are challenging tasks, due to the intrinsic heterogeneity, hierarchical structure and very large scale infrastructure they will have to exploit.In this paper we propose a simple, yet general, model to support the QoS-aware deployment of multi-component IoT applications over Fog infrastructures. The model describes operational systemic qualities of the available infrastructure (latency and bandwidth), interactions among software components and Things, and business policies. Algorithms to determine eligible deployment plans for an application over a Fog infrastructure are presented. A Java tool, FogTorch, based on the proposed model has been prototyped.

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Section: Related Workmentioning

confidence: 99%

QoS-Aware Deployment of IoT Applications Through the Fog

Brogi

Forti

2017

IEEE Internet Things J.

403

262

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“…Li et al [31] propose the employment of the TOSCA standard [13] to specify the basic constructs of IoT applications (e.g., gateways, controller, etc.) and their configuration, in order to improve the reusability of service management processes and to automate IoT application deployment in heterogeneous environments.…”

Section: Related Workmentioning

confidence: 99%

Automating the Provisioning and Configuration of Devices in the Internet of Things

Hirmer

Breitenbücher

Silva

et al. 2016

CSIMQ

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Abstract. The Internet of Things benefits from an increasing number of interconnected technical devices. This has led to the existence of so-called smart environments, which encompass one or more devices sensing, acting, and automatically performing different tasks to enable their self-organization. Smart environments are divided into two parts: the physical environment and its digital representation, oftentimes referred to as digital twin. However, the automated binding and monitoring of devices of smart environments are still major issues. In this article we present a method and system architecture to cope with these challenges by enabling (i) easy modeling of sensors, actuators, devices, and their attributes, (ii) dynamic device binding based on their type, (iii) the access to devices using different paradigms, and (iv) the monitoring of smart environments in regard to failures or changes. We furthermore provide a prototypical implementation of the introduced approach.

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“…For the plans it relies on existing business process modeling languages such as BPEL [14] and BPMN [15]. Some initial exploration has been reported on using TOSCA as a metamodel for IoT services [11]. From our studies we observe that this approach has a potential for addressing multiple views of the IoT application development and is much suited for offering the services following a Platform-as-a-Service (PaaS) model.…”

Section: Need For Model-driven-development In Iotmentioning

confidence: 99%

Model-Driven Development for Internet of Things: Towards Easing the Concerns of Application Developers

Pal

Mukherjee

Balamuralidhar

2015

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Internet-of-Things (IoT) is poised for a disruptive growth in near future with wide and easy deployments of sensor connected to Internet. Horizontal service platforms for IoT are increasingly gaining prominence for quick development and deployment of IoT applications. However, IoT application development needs diverse skill and knowledge from domain, analytics, infrastructure and programming, which is difficult to find in one application developer. In this paper we introduce a Model-driven-development (MDD) framework that tries to address the above issue by separating out the concern of different stakeholders through models and knowledgebases.

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Towards Automated IoT Application Deployment by a Cloud-Based Approach

Cited by 56 publications

References 7 publications

QoS-Aware Deployment of IoT Applications Through the Fog

QoS-Aware Deployment of IoT Applications Through the Fog

Automating the Provisioning and Configuration of Devices in the Internet of Things

Model-Driven Development for Internet of Things: Towards Easing the Concerns of Application Developers

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