@inproceedings{a81e0db5ff3e4d56893016cd8390ddde,
title = "Information fusion based agile streaming telemetry for intelligent traffic analytics of softwarized network",
abstract = "The recent federation of novel softwareization and virtualization architectures as well as Internet of Things (IoT) technologies complicates management of the network and services. In order to cope with expensive and slow network problem detection, isolation, and root cause analysis based on the SNMP driven pull model management, this paper proposes push based open source streaming network traffic analytics technologies by using P4 (Programming Protocol-Independent Packet Processors) INT (Inband Network Telemetry). Real-Time information fusion algorithms on the intelligent edge that correlates multi-source micro and macro streaming telemetry data are proposed. And its proof-of-concept implementation with performance evaluation.",
keywords = "information fusion, softwarized network, streaming telemetry",
author = "Taesang Choi and Sangsik Yoon and Sejun Song",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017 ; Conference date: 27-09-2017 Through 29-09-2017",
year = "2017",
month = nov,
day = "1",
doi = "10.1109/APNOMS.2017.8094158",
language = "English (US)",
series = "19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "399--402",
booktitle = "19th Asia-Pacific Network Operations and Management Symposium",
}