Server Workload Assignment for Real-Time Range Queries in Adaptive Quad Streaming Sensor Environments
- Dynamic Real-Time Range Queries (DRRQ) are a common means to handle mobile clients in high-density areas where both, clients requested by the query and the inquirers, are mobile. In contrast to the very well-known continuous range queries, only a few approaches, such as Adaptive Quad Streaming (AQS), address the mandatory scalability and real-time requirements of these so-called ad-hoc mobility challenges. In this paper we present the highly decentralized solution Adaptive Quad Streaming Flexible (AQSflex) as an extension of the already existing more theoretical AQS approach. Beside a highly distributed cell structure without data structures and a lightweight streaming communication, we use a multi-cell-assignment on limited pool resources instead of an idealistic unlimited cell-per-server assignment. The described experimental results show the potential of our local capacity balancing scheme for cell handover in a strongly decentralized setting. Leafs of a cell hierarchy define a kind of self-optimizing fuzzy edge for the processing resources in high-density systems without any centralized controlling or cloud component.
Author: | Simon KellerORCiD, Rainer Mueller |
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DOI: | https://doi.org/10.1109/ICCCN54977.2022.9868870 |
ISBN: | 978-1-6654-9726-8 |
ISBN: | 978-1-6654-9727-5 |
Parent Title (English): | 31th International Conference on Computer Communications and Networks (ICCCN 2022), 25-28 July 2022, Virtual |
Publisher: | IEEE |
Document Type: | Conference Proceeding |
Language: | English |
Year of Publication: | 2022 |
Release Date: | 2023/01/17 |
Page Number: | 10 |
Note: | Volltext im Campusnetz der Hochschule Konstanz via Datenbank IEEE Xplore abrufbar. |
Institutes: | Fakultät Informatik |
Relevance: | Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband) |
Open Access?: | Nein |
Licence (German): | ![]() |