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Cross-layer self-diagnosis for services over programmable networks

Abstract : Current networks serve billions of mobile customer devices. They encompass heterogeneous equipment, transport and manage-ment protocols, and vertical management tools, which are very difficult and costly to integrate. Fault management operations are far from being automated and intelligent, where around 40% of alarms are redundant only around 1-2% of alarms are correlated at most in a medium-size operational center. This indicates that there is a significant alarm overflow for human administrators, which inherently derives in high OPEX due to the increasingly need to employ high-skilled people to perform fault management tasks. In conclusion, the current level of automation in fault management tasks in Telcos networks is not at all adequate for programmable networks, which promise a high degree of programmability and flexibility to reduce the time-to-market. Automation on fault management is more necessary with the advent of programmable networks, led by with SDN (Software-Defined Networking), NFV (Network Functions Virtualization) and the Cloud. Indeed, the arise of those paradigms accelerates the convergence between networks and IT realms, which as consequence, is accelerating faster and faster the transformation of cur-rent networks leading to rethink network and service management and operations, in particular fault management operations. This thesis envisages the application of self-healing principles in SDN and NFV combined infrastructures, by focusing on self-diagnosis tasks as main enabler of self-healing. The core of thesis is to devise a self-diagnosis approach able to diagnose at run-time the dynamic virtualized networking services and their dependencies from the virtualized resources (VNFs and virtual links) but also the dependencies of those virtualized resources from the underlying network infrastructure, taking into account the mobility, dynamicity, and sharing of resources in the underlying infrastructure
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Submitted on : Tuesday, October 2, 2018 - 1:04:49 AM
Last modification on : Friday, October 23, 2020 - 5:02:29 PM
Long-term archiving on: : Thursday, January 3, 2019 - 12:43:21 PM


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  • HAL Id : tel-01885497, version 1


José Manuel Sánchez Vílchez. Cross-layer self-diagnosis for services over programmable networks. Networking and Internet Architecture [cs.NI]. Institut National des Télécommunications, 2016. English. ⟨NNT : 2016TELE0012⟩. ⟨tel-01885497⟩



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