NFV service dynamicity with a DevOps approach: insights from a use-case realization

Van Rossem, Steven; Cai, Xuejun; Cerrato, Ivano; Danielsson, Per; Németh, Felicián; Pechenot, Bertrand; Pelle, István; Risso, FULVIO GIOVANNI OTTAVIO; Sharma, Sachin; Sköldström, Pontus; John, Wolfgang

doi:10.23919/INM.2017.7987357

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This experience paper describes the process of leveraging the NFV orchestration platform built in the EU FP7 project UNIFY to deploy a dynamic network service exemplified by an elastic router. Elasticity is realized by scaling dataplane resources as a function of traffic load. To achieve this, the service includes a custom scaling logic and monitoring capabilities. An automated monitoring framework not only triggers elastic scaling, but also a troubleshooting process which detects and analyzes anomalies, pro-actively aiding both dev and ops personnel. Such a DevOps-inspired approach enables a shorter update cycle to the running service. We highlight multiple learnings yielded throughout the prototype realization, focussing on the functional areas of service decomposition and scaling; programmable monitoring; and automated troubleshooting. Such practical insights will contribute to solving challenges such as agile deployment and efficient resource usage in future NFV platforms.

Titolo:	NFV service dynamicity with a DevOps approach: insights from a use-case realization
Autori:	Van Rossem, Steven Cai, Xuejun CERRATO, IVANO Danielsson, Per Németh, Felicián Pechenot, Bertrand Pelle, István RISSO, FULVIO GIOVANNI OTTAVIO Sharma, Sachin Sköldström, Pontus John, Wolfgang mostra contributor esterni nascondi contributor esterni
Data di pubblicazione:	2017
Abstract:	This experience paper describes the process of leveraging the NFV orchestration platform built in... the EU FP7 project UNIFY to deploy a dynamic network service exemplified by an elastic router. Elasticity is realized by scaling dataplane resources as a function of traffic load. To achieve this, the service includes a custom scaling logic and monitoring capabilities. An automated monitoring framework not only triggers elastic scaling, but also a troubleshooting process which detects and analyzes anomalies, pro-actively aiding both dev and ops personnel. Such a DevOps-inspired approach enables a shorter update cycle to the running service. We highlight multiple learnings yielded throughout the prototype realization, focussing on the functional areas of service decomposition and scaling; programmable monitoring; and automated troubleshooting. Such practical insights will contribute to solving challenges such as agile deployment and efficient resource usage in future NFV platforms.
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http://hdl.handle.net/11583/2677003

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