TY - GEN
T1 - RTIC-C
T2 - 2012 1st International Conference on Connected Vehicles and Expo, ICCVE 2012
AU - Zhu, Tongyu
AU - Yu, Jianjun
AU - Du, Bowen
PY - 2012
Y1 - 2012
N2 - Realtime traffic information system produces massive traffic data with the process of collecting the realtime original transportation data, processing the GPS (Global Positioning System) data and publishing the realtime traffic information, which would bring several issues when we reuse these massive traffic data for history data mining, such as massive storage, high performance processing, open interface. Cloud computing delivers computing and storage capacity as a transparent service, which inspires us to develop a cloud infrastructure for history data mining applications of traffic information named RTIC-C. RTIC-C designs a distributed data management service to support large scale of data storage, a parallel distributed computing framework for diverse kinds of mining applications based on the map-reduce mechanism, finally RTIC-C provides a restful Web services interface to support third-party applications.
AB - Realtime traffic information system produces massive traffic data with the process of collecting the realtime original transportation data, processing the GPS (Global Positioning System) data and publishing the realtime traffic information, which would bring several issues when we reuse these massive traffic data for history data mining, such as massive storage, high performance processing, open interface. Cloud computing delivers computing and storage capacity as a transparent service, which inspires us to develop a cloud infrastructure for history data mining applications of traffic information named RTIC-C. RTIC-C designs a distributed data management service to support large scale of data storage, a parallel distributed computing framework for diverse kinds of mining applications based on the map-reduce mechanism, finally RTIC-C provides a restful Web services interface to support third-party applications.
KW - cloud computing
KW - data mining
KW - real time traffic information
UR - https://www.scopus.com/pages/publications/84879491479
U2 - 10.1109/ICCVE.2012.61
DO - 10.1109/ICCVE.2012.61
M3 - 会议稿件
AN - SCOPUS:84879491479
SN - 9780769549002
T3 - Proceedings - 2012 International Conference on Connected Vehicles and Expo, ICCVE 2012
SP - 282
EP - 283
BT - Proceedings - 2012 International Conference on Connected Vehicles and Expo, ICCVE 2012
Y2 - 12 December 2012 through 16 December 2012
ER -