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Conference Paper
Information Fusion based Agile Streaming Telemetry for Intelligent Traffic Analytics of Softwarized Network
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- Authors
- Taesang Choi, Sangsik Yoon, Sejun Song
- Issue Date
- 2017-09
- Citation
- Asia-Pacific Network Operations and Management Symposium (APNOMS) 2017, pp.399-402
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- 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.
- KSP Keywords
- Intelligent traffic, Internet of thing(IoT), Multi-source, Network Telemetry, Network Traffic, Open source, Performance evaluation, Protocol-independent, Real-time information, Root cause analysis, Telemetry data