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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.

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Metadaten
Author:Simon KellerORCiD, Rainer Mueller
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:Fakult├Ąt Informatik
Relevance:Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband)
Open Access?:Nein
Licence (German):License LogoUrheberrechtlich gesch├╝tzt