XQ2P: Efficient XQuery P2P Time Series Processing
Bogdan Butnaru (PRISM), Benjamin Nguyen (PRISM), Georges Gardarin, (PRISM), Laurent Yeh (PRISM)

TL;DR
This paper introduces XQ2P, a peer-to-peer framework for efficient XML time series processing using XQuery 1.1, enabling faster analysis of large financial datasets compared to centralized methods.
Contribution
It presents a novel P2P model for XML time series management leveraging XQuery 1.1, improving processing speed for large-scale financial data.
Findings
XQ2P significantly reduces processing time for large datasets.
The model outperforms centralized computation in speed.
Demonstrated effectiveness on datasets over 1 million values.
Abstract
In this demonstration, we propose a model for the management of XML time series (TS), using the new XQuery 1.1 window operator. We argue that centralized computation is slow, and demonstrate XQ2P, our prototype of efficient XQuery P2P TS computation in the context of financial analysis of large data sets (>1M values).
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Taxonomy
TopicsTime Series Analysis and Forecasting · Complex Systems and Time Series Analysis · Anomaly Detection Techniques and Applications
