In:
Advances in Mechanical Engineering, SAGE Publications, Vol. 5 ( 2013-01), p. 590234-
Abstract:
In the environment of cloud computing, real-time mass data about high-speed rail which is based on the intense monitoring of large scale perceived equipment provides strong support for the safety and maintenance of high-speed rail. In this paper, we focus on the Top- k algorithm of continuous distribution based on Multisource distributed data stream for high-speed rail monitoring. Specifically, we formalized Top- k monitoring model of high-speed rail and proposed DTMR that is the Top- k monitoring algorithm with random, continuous, or strictly monotone aggregation functions. The DTMR was proved to be valid by lots of experiments.
Type of Medium:
Online Resource
ISSN:
1687-8140
,
1687-8140
Language:
English
Publisher:
SAGE Publications
Publication Date:
2013
detail.hit.zdb_id:
2501620-9
