Publication: z-TORCH: An Automated NFV Orchestration and Monitoring Solution
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ISSN: 1932-4537
Publication date
2018-08-29
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IEEE
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Abstract
Autonomous management and orchestration
(MANO) of virtualized resources and services, especially in
large-scale NFV environments, is a big challenge owing to the
stringent delay and performance requirements expected of a
variety of network services. The quality of decision (QoD) of
a MANO system depends on the quality and timeliness of the
information that it receives from the underlying monitoring
system. The data generated by monitoring systems is a
significant contributor to the network and processing load of
MANO systems, impacting thus their performance. This raises
a unique challenge: how to jointly optimize the QoD of MANO
systems while at the same minimizing their monitoring loads at
runtime? This is the main focus of this paper.
In this context we propose a novel automated NFV orchestration
solution called z-TORCH (zero Touch Orchestration)
that jointly optimizes the orchestration and monitoring processes
by exploiting machine learning techniques. The objective is to
enhance the QoD of MANO systems achieving a near-optimal
placement of VNFs at minimum monitoring costs.
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Keywords
NFV, VNF, Orchestration, MANO, Monitoring, Function placement
Bibliographic citation
Sciancalepore, V., Yousaf, F.Z. y Costa Pérez, X. (2018). z-TORCH: An Automated NFV Orchestration and Monitoring Solution. IEEE Transactions on Network and Service Management, 15, (4), pp. 1292- 1306.