First Demonstration of Virtual Transport Network Services With Multi-layer Protection Schemes over Flexi-grid Optical Networks

Wang, Wei; Lin, Yi; Zhao, Yongli; Zhang, Guoying; Zhang, Jie; Han, Jianrui; Chen, Haoran; Hou, Baogang; Ji, Yuefeng; Zong, Liangjia

doi:10.1109/lcomm.2015.2509066

Cited by 17 publications

(12 citation statements)

References 6 publications

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“…In Ref. [63], an experimental system is reported, but traffic is artificially generated. Therefore there are no empirical statistics that help to model the structure (virtual topologies and their capacity requirements) and dynamic of such system.…”

Section: Network Virtualization Dynamics Characterizationmentioning

confidence: 99%

Network Virtualization Over Elastic Optical Networks: A Survey of Allocation Algorithms

Bórquez‐Paredes¹,

Beghelli²,

Leiva³

2017

Optical Fiber and Wireless Communications

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Network virtualization has emerged as a paradigm for cloud computing services by providing key functionalities such as abstraction of network resources kept hidden to the cloud service user, isolation of different cloud computing applications, flexibility in terms of resources granularity, and on-demand setup/teardown of service. In parallel, flex-grid (also known as elastic) optical networks have become an alternative to deal with the constant traffic growth. These advances have triggered research on network virtualization over flex-grid optical networks. Effort has been focused on the design of flexible and virtualized devices, on the definition of network architectures and on virtual network allocation algorithms. In this chapter, a survey on the virtual network allocation algorithms over flexible-grid networks is presented. Proposals are classified according to a taxonomy made of three main categories: performance metrics, operation conditions and the type of service offered to users. Based on such classification, this work also identifies open research areas as multi-objective optimization approaches, distributed architectures, meta-heuristics, reconfiguration and protection mechanisms for virtual networks over elastic optical networks.under the conditions stated in a service level agreement (SLA), having dynamic scaling of resources and transparent access to network services, unaware of the location and hardware/ software characteristics of the required resources [2]. Apart from high bandwidth, cloud computing applications require the following functionalities from the underlying physical network [1]:• Abstraction: The technology/implementation specific details of the physical network resources are hidden to the users, due to the "computing as a utility" philosophy.• Isolation: Different cloud computing applications should not interfere with each other in the access to common physical resources.• Flexible resource granularity: The amount of resources (storage, processing power and bandwidth) required by different cloud computing applications might vary significantly.• On-demand setup/tear down: For efficiency, network resources should be set-up/torn down with a highly dynamic, rapidly reconfigurable and programmable network environment, something not possible with the current status of Internet [3].• Resiliency: Grid/cloud computing applications should continue running in spite of failures affecting the optical network.Network virtualization, which extends the well-known concepts of server and storage virtualization to networks, is envisaged as a key enabling technology for cloud computing services.As such, the benefits of running cloud applications on top of virtual networks (as opposed to on top of virtual servers alone, as usually done [4,5]), was evidenced by several preliminary studies on network virtualization for cloud computing. In Ref.[6], resource allocation of cloud-based data centres services was proposed by abstracting the service requests as virtual network requests. In Ref.[7], a network virt...

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Section: Network Virtualization Dynamics Characterizationmentioning

confidence: 99%

Network Virtualization Over Elastic Optical Networks: A Survey of Allocation Algorithms

Bórquez‐Paredes¹,

Beghelli²,

Leiva³

2017

Optical Fiber and Wireless Communications

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“…The authors in [18] study the problem of survivable VON mapping in a flexible grid optical network with programmable regenerators that are capable of converting spectrum and modulation format. In [19], the letter shows experiments in VONs, and proposed multi-layer protection schemes, so the results showed that the proposed schemes can provide differentiated protection for virtual transport network services with multiple operators and diversified services. The recent work [3] focused on investigating how to provision topology mapping with survivability criteria against physical node or link failures.…”

Section: Related Workmentioning

confidence: 99%

Network Virtualization Over Elastic Optical Networks With Different Protection Schemes

Assis¹,

Peng²,

Almeida

et al. 2016

J. Opt. Commun. Netw.

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“…Then we forbid the virtual link endpoints of the primary embedding to be intermediate nodes on the path of backup embedding and vice versa using (10) and (11).…”

Section: B Ilp Formulationmentioning

confidence: 99%

“…A recent paper [11] identifies dedicated protection for an entire VN topology as one possible customer requirement for reliability among others. Therefore, it becomes important for the InP to embed a customer VN request with 1 +1-protection for the entire topology in a resource efficient way.…”

Section: B Virtual Network Embedding With Dedicated Protectionmentioning

confidence: 99%

“…These customer VNs carry high volumes of traffic at high speed, and usually have Service Level Agreements (SLAs) with the InP for recovery from physical failures within tens of milliseconds. To satisfy such tight SLAs, the InPs may need to provision dedicated backup resources for the entire VN topology, which can be used for immediate recovery from a physical failure [11]. Otherwise, a prolonged recovery time can lead to service disruption for the SP, leading to revenue and reputation loss for the InP.…”

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confidence: 99%

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Dedicated Protection for Survivable Virtual Network Embedding

Chowdhury

Ahmed

Khan

et al. 2016

IEEE Trans. Netw. Serv. Manage.

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Network virtualization is enabling infrastructure providers (InPs) to offer new services to service providers (SPs). InPs are usually bound by Service Level Agreements (SLAs) to ensure various levels of resource availability for different SPs' virtual networks (VNs). They provision redundant backup resources while embedding an SP's VN request to conform to the SLAs during physical failures in the infrastructure. An extreme backup resource provisioning is to reserve a mutually exclusive backup of each element in an SP's VN request. Such dedicated protection scheme can enable an InP to ensure fast VN recovery, thus, providing high uptime guarantee to the SPs. In this paper, we study the 1 + 1-Protected Virtual Network Embedding (1 + 1-ProViNE) problem. We propose Dedicated Protection for Virtual Network Embedding (DRONE), a suite of solutions to the 1 + 1-ProViNE problem. DRONE includes an Integer Linear Programming (ILP) formulation for optimal solution (OPT-DRONE) and a heuristic (FAST-DRONE) to tackle the computational complexity of the optimal solution. Trace driven simulations show that FAST-DRONE allocates only 14.3% extra backup resources on average compared to the optimal solution, while executing 200 -1200 times faster. Simulation results also show that FAST-DRONE can accept 4 times more VN requests on average compared to the state-of-the-art solution for providing dedicated protection to VNs.

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First Demonstration of Virtual Transport Network Services With Multi-layer Protection Schemes over Flexi-grid Optical Networks

Cited by 17 publications

References 6 publications

Network Virtualization Over Elastic Optical Networks: A Survey of Allocation Algorithms

Network Virtualization Over Elastic Optical Networks: A Survey of Allocation Algorithms

Network Virtualization Over Elastic Optical Networks With Different Protection Schemes

Dedicated Protection for Survivable Virtual Network Embedding

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