Designing and embedding reliable virtual infrastructures

Yeow, Wai-Leong; Westphal, Cédric; Kozat, Ulaş C.

doi:10.1145/1971162.1971173

Cited by 76 publications

(49 citation statements)

References 24 publications

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“…In contrast, Yeow et al define reliability as the probability that critical nodes of a virtual infrastructure remain in operation over all possible failures [37]. They propose an approach in which backup resources are pooled and shared across multiple virtual infrastructures.…”

Section: Level 3: Service Provisionmentioning

confidence: 99%

Traffic Management for Cloud Federation

Burakowski

Bęben

Berg

et al. 2018

Lecture Notes in Computer Science

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Abstract. The chapter summarizes activities of COST IC1304 ACROSS European Project corresponding to traffic management for Cloud Federation (CF). In particular, we provide a survey of CF architectures and standardization activities. We present comprehensive multilevel model for traffic management in CF that consists of five levels: Level 5 -Strategies for building CF, Level 4 -Network for CF, Level 3 -Service specification and provision, Level 2 -Service composition and orchestration, and Level 1 -Task service in cloud resources. For each level we propose specific methods and algorithms. The effectiveness of these solutions were verified by simulation and analytical methods. Finally, we also describe specialized simulator for testing CF solution in IoT environment.

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Section: Level 3: Service Provisionmentioning

confidence: 99%

Traffic Management for Cloud Federation

Burakowski

Bęben

Berg

et al. 2018

Lecture Notes in Computer Science

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“…Thus, survivable virtual network embedding against node failures in a VNE is desirable and emerging. As presented in a recent survey about the survivable virtual network embedding studies [56], most of the works [50,60,113,114] focused on single-node failure on the substrate network. The authors in [50] discussed a two-step survivable virtual network embedding procedure to provide protection against single substrate node failure.…”

Section: Survivable Virtual Network Embeddingmentioning

confidence: 99%

Dynamic virtual network restoration with optimal standby virtual router selection

Medhi

2016

NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium

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Network virtualization technologies allow service providers to request partitioned, QoS guaranteed and fault-tolerant virtual networks provisioned by the substrate network provider (i.e., physical infrastructure provider). A virtualized networking environment (VNE) has common features such as partition, flexibility, etc., but fault-tolerance requires additional efforts to provide survivability against failures on either virtual networks or the substrate network.Two common survivability paradigms are protection (proactive) and restoration (reactive). In the protection scheme, the substrate network provider (SNP) allocates redundant resources (e.g., nodes, paths, bandwidths, etc) to protect against potential failures in the VNE. In the restoration scheme, the SNP dynamically allocates resources to restore the networks, and it usually occurs after the failure is detected.iii In this dissertation, we design a restoration scheme that can be dynamically implemented in a centralized manner by an SNP to achieve survivability against node failures in the VNE. The proposed restoration scheme is designed to be integrated with a protection scheme, where the SNP allocates spare virtual routers (VRs) as standbys for the virtual networks (VN) and they are ready to serve in the restoration scheme after a node failure has been identified. These standby virtual routers (S-VR) are reserved as a sharedbackup for any single node failure, and during the restoration procedure, one of the S-VR will be selected to replace the failed VR. In this work, we present an optimal S-VR selection approach to simultaneously restore multiple VNs affected by failed VRs, where these VRs may be affected by failures within themselves or at their substrate host (i.e., power outage, hardware failures, maintenance, etc.). Furthermore, the restoration scheme is embedded into a dynamic reconfiguration scheme (DRS), so that the affected VNs can be dynamically restored by a centralized virtual network manager (VNM).We first introduce a dynamic reconfiguration scheme (DRS) against node failures in a VNE, and then present an experimental study by implementing this DRS over a realistic VNE using GpENI testbed. For this experimental study, we ran the DRS to restore one VN with a single-VR failure, and the results showed that with a proper S-VR selection, the performance of the affected VN could be well restored. Next, we proposed an Mixed-Integer Linear Programming (MILP) model with dual-goals to optimally select S-VRs to restore all VNs affected by VR failures while load balancing. We also present a iv heuristic algorithm based on the model. By considering a number of factors, we present numerical studies to show how the optimal selection is affected. The results show that the proposed heuristic's performance is close to the optimization model when there were sufficient standby virtual routers for each virtual network and the substrate nodes have the capability to support multiple standby virtual routers to be in service simultaneously.Finally, we presen...

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“…In proposing solutions for optimal server selection, as well as physical layer routing of anycast services for intra-and inter-DC networks, the resilience of the resulting virtual layer design is not considered by [11], [12]. It is important to note that we deal with a planning problem, jointly deciding on multiple VNets, and not an online VNet mapping that maps one VNet at a time (as in, e.g., [13]). …”

Section: Related Workmentioning

confidence: 99%

Resilience options for provisioning anycast cloud services with virtual optical networks

Bùi

Jaumard

Develder

2014

2014 IEEE International Conference on Communications (ICC)

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Abstract-Optical networks are crucial to support increasingly demanding cloud services. Delivering the requested quality of services (in particular latency) is key to successfully provisioning end-to-end services in clouds. Therefore, as for traditional optical network services, it is of utter importance to guarantee that clouds are resilient to any failure of either network infrastructure (links and/or nodes) or data centers. A crucial concept in establishing cloud services is that of network virtualization: the physical infrastructure is logically partitioned in separate virtual networks. To guarantee end-to-end resilience for cloud services in such a set-up, we need to simultaneously route the services and map the virtual network, in such a way that an alternate routing in case of physical resource failures is always available. Note that combined control of the network and data center resources is exploited, and the anycast routing concept applies: we can choose the data center to provide server resources requested by the customer to optimize resource usage and/or resiliency. This paper investigates the design of scalable optimization models to perform the virtual network mapping resiliently. We compare various resilience options, and analyze their compromise between bandwidth requirements and resiliency quality.

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Designing and embedding reliable virtual infrastructures

Cited by 76 publications

References 24 publications

Traffic Management for Cloud Federation

Traffic Management for Cloud Federation

Dynamic virtual network restoration with optimal standby virtual router selection

Resilience options for provisioning anycast cloud services with virtual optical networks

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