Distributed Real-Time Traffic Data Management
As ITS technology evolves, very large volume of traffic data can be obtained in real-time. Traffic data are continuously produced and they can be considered as a kind of stream data. Currently, such traffic data are not maintained permanently because of the storage limitations of operational systems...
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creator | Joonwoo Lee Jaeil Hwang Dong-Hoon Shin Yunmook Nah Hae-Young Bae Doo-Hyun Kim |
description | As ITS technology evolves, very large volume of traffic data can be obtained in real-time. Traffic data are continuously produced and they can be considered as a kind of stream data. Currently, such traffic data are not maintained permanently because of the storage limitations of operational systems. Therefore, it was impossible to compare temporal historical patterns over long time periods. In this paper, we propose a traffic data management scheme, which can handle historical data as well as current data. The proposed scheme is based on the GALIS architecture, which is a cluster-based distributed computing system architecture that consists of multiple data processors, each dedicated to keeping records relevant to a different geographical zone and a different time zone. Some experimental results showing performance factors are also explained. |
doi_str_mv | 10.1109/ISORC.2008.35 |
format | Conference Proceeding |
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identifier | ISSN: 1555-0885 |
ispartof | 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC), 2008, p.478-484 |
issn | 1555-0885 2375-5261 |
language | eng |
recordid | cdi_ieee_primary_4519620 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Add-drop multiplexers Computer architecture Distributed computing distributed data management Distributed databases GALIS Management information systems Prototypes Query processing Research and development management Technology management TMO Traffic control traffic data |
title | Distributed Real-Time Traffic Data Management |
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