Towards a Scalable Dynamic Spatial Database System
Joaqu\'in Keller, Raluca Diaconu (LIP6), Mathieu Valero (LIP6, INRIA, Rocquencourt)
TL;DR
This paper investigates the scalability challenges of real-time spatial queries on large moving object datasets and proposes a novel distributed architecture to address these issues.
Contribution
It introduces a new distributed system architecture designed to improve scalability for soft real-time spatial queries on large moving object datasets.
Findings
Measured the limits of existing algorithms in various scenarios
Identified scalability bottlenecks in current systems
Proposed a distributed architecture to enhance performance
Abstract
With the rise of GPS-enabled smartphones and other similar mobile devices, massive amounts of location data are available. However, no scalable solutions for soft real-time spatial queries on large sets of moving objects have yet emerged. In this paper we explore and measure the limits of actual algorithms and implementations regarding different application scenarios. And finally we propose a novel distributed architecture to solve the scalability issues.
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Taxonomy
TopicsData Management and Algorithms · Advanced Database Systems and Queries · Peer-to-Peer Network Technologies