Freund M, Fries J, Dorsch R, Schiller P, Harth A (2023)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2023
URI: https://dl.acm.org/doi/pdf/10.1145/3627050.3627063
Open Access Link: https://dl.acm.org/doi/abs/10.1145/3627050.3627063
We present WoT2Pod, an architecture that provides a uniform API for data access and control of IoT devices at the edge and in the cloud, creating a seamless continuum between these environments. The uniform API is based on Resource Description Framework (RDF) graphs, Linked Data Platform (LDP) containers, and HTTP. The API is created by a middleware that uses the Web of Things to interact with devices, maps collected IoT data to RDF, provides the most recent data at the edge, and stores data for long-term storage and sharing with third parties in a Solid Pod in the cloud layer. We establish a formalism and derive equations for predicting la-
tency, and use them to evaluate different polling and pushing-based methods for exchanging data between components. Our results underscore that interactions at the edge are consistently faster than those in the cloud, with data access 65% faster and device control 70% faster. We found that a strategy that relies entirely on pushing data provides the most optimal latency results.
APA:
Freund, M., Fries, J., Dorsch, R., Schiller, P., & Harth, A. (2023). WoT2Pod: An Architecture enabling an Edge-to-Cloud Continuum. In ACM (Eds.), Proceedings of the The International Conference on the Internet of Things. Nagoya, JP.
MLA:
Freund, Michael, et al. "WoT2Pod: An Architecture enabling an Edge-to-Cloud Continuum." Proceedings of the The International Conference on the Internet of Things, Nagoya Ed. ACM, 2023.
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