TARMan: Topology-aware reliability management for softwarized network systems
| Autor: | Sejun Song, Henry Zhu, Taesang Choi, Baek-Young Choi, Haymanot Gebre-Amlak, Goutham Banala |
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| Rok vydání: | 2017 |
| Předmět: |
Link Layer Discovery Protocol
Computer science business.industry computer.internet_protocol Reliability (computer networking) Distributed computing 020206 networking & telecommunications 02 engineering and technology 021001 nanoscience & nanotechnology Network topology Virtualization computer.software_genre Network management application Control system Scalability 0202 electrical engineering electronic engineering information engineering 0210 nano-technology business computer Network management station Computer network |
| Zdroj: | LANMAN |
| DOI: | 10.1109/lanman.2017.7972178 |
| Popis: | The recent networking paradigm shifts towards the virtualization and softwarization of network functions, controls, and applications that are promising; they optimize costs and processes while bringing new value to the infrastructures. However, the centralized reliability management in softwarization architecture poses both scalability and latency challenges. In this paper, we design and build a novel topology-aware network reliability management framework that enhances the efficiency of network discovery (Link Layer Discovery Protocol (LLDP)) mechanisms and introduces a three-tier-based algorithm that the controller utilizes to calculate the LLDP-discovery frequency. A novel impact based per target LLDP-discovery approach enables fast failure detection and recovery for the important targets. A prototype is implemented on Cisco's OpenDayLight (ODL). Extensive Mininet experiment results validate that the tier-based LLDP message algorithm enables effective decision making tools for the network reliability management framework. |
| Databáze: | OpenAIRE |
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