TY - GEN
T1 - TARMan
T2 - 23rd IEEE International Symposium on Local and Metropolitan Area Networks, LANMAN 2017
AU - Gebre-Amlak, Haymanot
AU - Banala, Goutham
AU - Song, Sejun
AU - Choi, Baek Young
AU - Choi, Taesang
AU - Zhu, Henry
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/7
Y1 - 2017/7/7
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85027283402
UR - https://www.scopus.com/pages/publications/85027283402#tab=citedBy
U2 - 10.1109/LANMAN.2017.7972178
DO - 10.1109/LANMAN.2017.7972178
M3 - Conference contribution
AN - SCOPUS:85027283402
T3 - IEEE Workshop on Local and Metropolitan Area Networks
BT - LANMAN 2017 - 23rd IEEE International Symposium on Local and Metropolitan Area Networks
PB - IEEE Computer Society
Y2 - 12 June 2017 through 14 June 2017
ER -