Running Distributed and Dynamic IoT Choreographies

Seeger, Jan; Deshmukh, Rohit A.; Bröring, Arne

doi:10.48550/arxiv.1802.03159

Cited by 2 publications

(11 citation statements)

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“…is work builds up on our previous works [26,27,31] that present an IoT composition as a "Recipe", i.e., separate from its implementation. A semi-automated service composition and instantiation tool assists the user in creating the composition.…”

Section: Iot Compositionmentioning

confidence: 99%

“…With the recipe concept (Section 2.1, [31]), we have de ned a schema for the expression of such data ow graphs. ese recipes are executed in a distributed fashion, and can be dynamically replaced and recon gured (see [26]). With the growing scale of IoT device deployments and applications, such dynamic replacement and recon guration will become more important.…”

Section: Optimal Self-healing Proceduresmentioning

confidence: 99%

“…(1) Detect so ware or device failure (2) Find functionally matching replacement devices (3) Optimal assignment of application tasks to available network nodes (4) Recon gure application with replacement device and so ware Everything in that application is allocated. We can e ciently detect so ware or device failure (1) via the failure detection algorithm described in Section 3, and tune the detection according to the application requirements with policies as described in Section 3.2. e semantic matching algorithm in [26,31] can then nd a functionally matching replacement component (2). en, in step (3), we evaluate the placement of recipe components on nodes of the modi ed graph via the allocation algorithm described in the next Section 4.2.…”

Section: Optimal Self-healing Proceduresmentioning

confidence: 99%

“…en, in step (3), we evaluate the placement of recipe components on nodes of the modi ed graph via the allocation algorithm described in the next Section 4.2. Step (4), the recon guration of the instantiated recipe, then happens as described in [26].…”

Section: Optimal Self-healing Proceduresmentioning

confidence: 99%

“…is work describes the latest ndings on our research agenda to enable distributed IoT choreographies. Our path began with the introduction of the "Recipe" concept for de ning IoT application templates [31], continued by our work on improving the runtime management of such recipes by handling them as service choreographies [26], and most recently de ned a mechanism for the dynamic and resilient management of IoT choreographies [27].…”

Section: Introductionmentioning

confidence: 99%

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Optimally Self-Healing IoT Choreographies

Seeger¹,

Bröring²,

Carle³

2019

Preprint

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In the industrial Internet of ings domain, applications are moving from the Cloud into the edge, closer to the devices producing and consuming data. is means applications move from the scalable and homogeneous cloud environment into a constrained heterogeneous edge network. Making edge applications reliable enough to ful ll Industrie 4.0 use cases is still an open research challenge. Maintaining operation of an edge system requires advanced management techniques to mitigate the failure of devices. is paper tackles this challenge with a twofold approach: (1) a policy-enabled failure detector that enables adaptable failure detection and (2) an allocation component for the e cient selection of failure mitigation actions. We evaluate the parameters and performance of our failure detection approach and the performance of an energy-e cient allocation technique, and present a vision for a complete system as well as an example use case.

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Section: Iot Compositionmentioning

confidence: 99%

Section: Optimal Self-healing Proceduresmentioning

confidence: 99%

Section: Optimal Self-healing Proceduresmentioning

confidence: 99%

Section: Optimal Self-healing Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimally Self-Healing IoT Choreographies

Seeger¹,

Bröring²,

Carle³

2019

Preprint

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Rule-Based Translation of Application-Level QoS Constraints into SDN Configurations for the IoT

Seeger

Bröring

Pahl

et al. 2019

2019 European Conference on Networks and Communications (EuCNC)

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In this paper, we propose an approach for the automated translation of application-level requirements regarding the logical workflow and its QoS into a configuration of the underlying network substrate. Our goal is to facilitate the integration of QoS constraints in the development of industrial IoT applications to make them more reliable. We follow an approach based on two semantic models: The first model allows to design the workflow of an IoT application and to express applicationlevel QoS requirements on its interactions. The second model captures the configuration of a network and can be used as input to a north-bound interface of an SDN controller. Finally, we make use of rule-based semantic reasoning to automatically translate from the application requirements into SDN parameters.

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Running Distributed and Dynamic IoT Choreographies

Cited by 2 publications

References 0 publications

Optimally Self-Healing IoT Choreographies

Optimally Self-Healing IoT Choreographies

Rule-Based Translation of Application-Level QoS Constraints into SDN Configurations for the IoT

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