TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Keller, Simon
A1  - Mueller, Rainer
T1  - Server Workload Assignment for Real-Time Range Queries in Adaptive Quad Streaming Sensor Environments
T2  - 31th International Conference on Computer Communications and Networks (ICCCN 2022), 25-28 July 2022, Virtual
N2  - 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.
Y1  - 2022
SN  - 978-1-6654-9726-8
SB  - 978-1-6654-9726-8
SN  - 978-1-6654-9727-5
SB  - 978-1-6654-9727-5
U6  - https://doi.org/10.1109/ICCCN54977.2022.9868870
DO  - https://doi.org/10.1109/ICCCN54977.2022.9868870
N1  - Volltext im Campusnetz der Hochschule Konstanz via Datenbank IEEE Xplore abrufbar.
SP  - 10
S1  - 10
PB  - IEEE
ER  -