Resilient deployment of virtual network functions

Schöller, Marcus; Stiemerling, Martin; Ripke, Andreas; Bless, Roland

doi:10.1109/icumt.2013.6798428

Cited by 47 publications

(27 citation statements)

References 5 publications

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“…Starting at the service level, the service operator controls their services by using an Operating Support System (OSS) component. New services are introduced to the system by providing a description of the service [12] and the software component executables. Both are provided by a service vendor and fed into the OSS via the S-OSS interface.…”

Section: B Cloud Service Managementmentioning

confidence: 99%

Critical services in the cloud: Understanding security and resilience risks

Hecht

Smith

Schöller

2014

2014 6th International Workshop on Reliable Networks Design and Modeling (RNDM)

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The promise of low costs, adaptation to customer load, and fast service roll-out has made cloud infrastructures a primary choice for many service providers. So far, this has been largely for end-user and enterprise services. Recently, the cloud paradigm is being considered by service providers of critical infrastructures. A prominent example of this is ETSI's Industry Specification Group (ISG) on Network Function Virtualization, which provides guidelines on how to move telecommunications services to the cloud. But other critical infrastructure providers are following closely. Common characteristics of critical infrastructure services, such as network functions, are their high requirements for service dependability and security. In this paper, we present a risk assessment method for assessing the risks of moving critical infrastructure services to the cloud. To achieve this, we have extended a well-established information security risk assessment process and developed an extensive cloud-specific fault and challenge catalogue.

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Section: B Cloud Service Managementmentioning

confidence: 99%

Critical services in the cloud: Understanding security and resilience risks

Hecht

Smith

Schöller

2014

2014 6th International Workshop on Reliable Networks Design and Modeling (RNDM)

Self Cite

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“…al. in [21] propose an information model to ensure a resilient deployment of VNF composing complex services in NFV where redundant components are strategically placed to avoid cascade effects. However, this approach does not ensure resilience in the operational phase.…”

Section: B Fault Manangement In Sdn and Nfvmentioning

confidence: 99%

Self-modeling based diagnosis of services over programmable networks

Sánchez

Yahia

Crespi

2016

2016 IEEE NetSoft Conference and Workshops (NetSoft)

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Abstract-In this paper, we propose a multi-layer self-diagnosis framework for networking services within SDN and NFV environments. The framework encompasses three main contributions: 1) the definition of multi-layered templates to identify what to supervise while taking into account the physical, logical, virtual and service layers. These templates are also finergranular, extendable and machine-readable; 2) a self-modeling module that takes as input these templates, instantiates them and generates on-the-fly the diagnosis model that includes the physical, logical, and the virtual dependencies of networking services; 3) a service-aware root-cause analysis module that takes into account the networking services' views and their underlying network resources observations within the aforementioned layers. We also present extensive simulations to prove the fully automated, finer granularity and reduced uncertainty of the root cause of networking services failures and their underlying network resources.

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“…Hence, this equation is identical to (3), where the feasibility is ensured by the corresponding indicators.…”

Section: A Derivation Of Bellman Equationmentioning

confidence: 99%

“…Technical details of how the VNF could be deployed are discussed in [3]. Integration of NFV and SDN was also addressed in [4] in the context of 5G mobile core networks.…”

Section: A Related Workmentioning

confidence: 99%

Optimal control of VNF deployment and scheduling

Shifrin

Biton

Gurewitz

2016

2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE)

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Abstract-Managing network-related resources involves sophisticated trade-off between flexibility, high performance standards, latency demands which adhere to service level agreements (SLAs) and cost constraints. Network functioning virtualization (NFV) opens new challenges to the remote network management which combines activation and control of virtual machines (VMs) according to variable demand. Currently, this functionality is being handled by harnessing the traditional orchestration algorithms using suboptimal heuristics. We model the problem of virtual network function (VNF) allocation by queuing system with flexible number of queues, which captures variety of constraints including queue deployment and displacement, delay cost, holding cost, scheduling reward and fine. Next, we model the system by Markov decision process (MDP) and numerically solve it to find the optimal policy. We show analytically and by simulations that the optimal policy possesses decision thresholds which depend on several parameters.

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Resilient deployment of virtual network functions

Cited by 47 publications

References 5 publications

Critical services in the cloud: Understanding security and resilience risks

Critical services in the cloud: Understanding security and resilience risks

Self-modeling based diagnosis of services over programmable networks

Optimal control of VNF deployment and scheduling

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