Survivable virtual optical network mapping in flexible-grid optical networks

Xie, Weisheng; Jue, Jason P.; Zhang, Qiong; Wang, Xi; She, Qingya; Palacharla, Paparao; Sekiya, Motoyoshi

doi:10.1109/iccnc.2014.6785335

Cited by 19 publications

(16 citation statements)

References 10 publications

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“…0.99999) to a virtual network has not been addressed by the proposed virtual network allocation algorithms to date, although availability (the fraction of time that a service is in operative state) is one of the most important quality of service metrics in a service level agreement (SLA). However, some efforts have been carried out in guaranteeing operation under specific failure conditions [49,53,59,61,62].…”

Section: Performance Metricsmentioning

confidence: 99%

“…Thus, algorithms aiming at minimizing the cost have also been studied. This metric has been mostly used in static scenarios [46,56,61,62], and it is useful for the network planning stage. In dynamic scenarios, it can be used to determine the cost per virtual network, the total cost of providing the network virtualization service during a period of time or the cost incurred to achieve a given performance in terms of blocking ratio or traffic carried.…”

Section: Performance Metricsmentioning

confidence: 99%

“…For instance, in Refs. [48,49,51,53,57,61,62], the degradation is summarized in the figure of the maximum optical reach of signals, in Refs. [46,56,58,59], the use of guard bands to all channels is used to simulate an ideal substrate, whereas in Refs.…”

Section: Physical Impairmentsmentioning

confidence: 99%

“…The selection of the physical nodes and links to be allocated to a virtual network is a -Hard problem [67]. Thus, most proposals solving this problem over flexible-grid optical networks have resorted to heuristics [46-59, 61, 62, 64] and a few of them have proposed integer linear models [51,58,59,61,64], but mostly in the context of a static scenario where the random nature of the virtual network requests is not a problem. Much work is still needed in identifying the features of good performing heuristics to allocate virtual networks as well as evaluating the performance of meta-heuristics.…”

Section: Resource Allocation To Virtual Networkmentioning

confidence: 99%

“…[48,49]. Remaining metrics used in reported works are the traffic carried by the physical networks [54,[57][58][59] and cost-related metrics [46,56,61,62].…”

Section: Performance Metricmentioning

confidence: 99%

See 4 more Smart Citations

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: Performance Metricsmentioning

confidence: 99%

Section: Performance Metricsmentioning

confidence: 99%

Section: Physical Impairmentsmentioning

confidence: 99%

Section: Resource Allocation To Virtual Networkmentioning

confidence: 99%

“…[48,49]. Remaining metrics used in reported works are the traffic carried by the physical networks [54,[57][58][59] and cost-related metrics [46,56,61,62].…”

Section: Performance Metricmentioning

confidence: 99%

See 3 more Smart Citations

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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Embedding Virtual Networks in Flexible Optical Networks with Sliceable Transponders

Zhao¹,

Subramaniam²

2020

Optical Network Design and Modeling

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Emerging inter-datacenter applications involving data transferred, processed, and analyzed at multiple data centers, such as virtual machine migrations, real-time data backup, remote desktop, and virtual data centers, can be modeled as virtual network requests that share computing and spectrum resources of a common substrate physical interdatacenter network. Recent advances make flexible optical networks an ideal candidate for meeting the dynamic and heterogeneous connection demands between datacenters. In this paper, we address the static (offline) version of the virtual network embedding problem in flexible optical networks equipped with sliceable bandwidth variable transponders (SBVTs). The objective is to minimize the total number of required SB-VTs in the network. An Integer Linear Programming (ILP) formulation is presented, lower bounds are derived, and four heuristics are proposed and compared. Simulation results are presented to show the effectiveness of the proposed approaches. Keywords: Virtual networks • flexible optical networks • inter-datacenter networks • embedding • frequency slots • list scheduling.

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On efficient virtual network function chaining in NFV-based telecommunications networks

Galdamez

Pamula

2018

Cluster Comput

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Survivable virtual optical network mapping in flexible-grid optical networks

Cited by 19 publications

References 10 publications

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

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

Embedding Virtual Networks in Flexible Optical Networks with Sliceable Transponders

On efficient virtual network function chaining in NFV-based telecommunications networks

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