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C. Avasalcai, S. Dustdar:
"Latency-aware decentralized resource management for IoT applications";
Talk: Poster Session of the 8th International Conference on the Internet of Things (IoT 2018), Santa Barbara, CA, USA; 2018-10-15 - 2018-10-18; in: "Proceedings of the 8th International Conference on the Internet of Things (IoT 2018)", ACM, (2018), ISBN: 978-1-4503-6564-2; Paper ID 30, 4 pages.

With the increased success of the Internet of Things (IoT), the cloud-based solutions are no longer sufficient to meet the stringent requirements of IoT applications. Besides requiring fast response time, increased security and privacy, they lack computational resources at the edge of the network. Such computational resources distributed closer to the edge represent the fundamental infrastructure of edge and fog paradigms. However, without advanced resource management techniques, the advantages of the paradigms are lost. In this paper, we present a novel distributed resource allocation algorithm with the purpose of enabling seamless integration and deployment of different applications in an IoT infrastructure. The algorithm decides: the (i) mapping of IoT application at the edge of the network, (ii) dynamic migration of parts of the application, such that Service Level Agreement (SLA) is satisfied. Furthermore, we analyze and discuss our approach and the potential to minimize the latency of different IoT applications.

Edge Computing; Internet of Things; Resource Management; Fog Computing

http://dx.doi.org/10.1145/3277593.3277637