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Streaming Data through the IoT via Actor-Based Semantic Routing Trees


The Internet of Things (IoT) enables the usage of resources at the edge of the network for various data management tasks that are traditionally executed in the cloud. However, the heterogeneity of devices and communication methods in a multi-tiered IoT environment (cloud/fog/edge) exacerbates the problem of deciding which nodes to use for processing and how to route data. In addition, both decisions cannot be made only statically for the entire lifetime of an application, as an IoT environment is highly dynamic and nodes in the same topology can be both stationary and mobile as well as reliable and volatile. As a result of these different characteristics, an IoT data management system that spans across all tiers of an IoT network cannot meet the same availability assumptions for all its nodes. To address the problem of choosing ad-hoc which nodes to use and include in a processing workload, we propose a networking component that uses a-priori as well as ad-hoc routing information from the network. Our approach, called Rime, relies on keeping track of nodes at the gateway level and exchanging routing information with other nodes in the network. By tracking nodes while the topology evolves in a geo-distributed manner, we enable efficient communication even in the case of frequent node failures. Our evaluation shows that Rime keeps in check communication costs and message transmissions by reducing unnecessary message exchange by up to 82.65%.
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Dates and versions

hal-03264633 , version 1 (18-06-2021)


Attribution - NonCommercial


  • HAL Id : hal-03264633 , version 1


Dimitrios Giouroukis, Johannes Jestram, Steffen Zeuch, Volker Markl. Streaming Data through the IoT via Actor-Based Semantic Routing Trees. VLIoT@VLDB '21: Proc. Intl. Workshop on Very Large Internet of Things, Aug 2021, Copenhagen, Denmark. ⟨hal-03264633⟩
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