Availability‐driven optimal design of shared path protection in WDM networks

Tarifeño-Gajardo, Marco; Beghelli, Alejandra; Moreno, Eduardo

doi:10.1002/net.21695

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…To simplify the model, we consider only the link availabilities, i.e., the node availabilities are considered to be 1. Although this is not totally realistic, it is known that the node availabilities are typically much higher than the link availabilities [17].…”

Section: Link Availability Upgradementioning

confidence: 99%

Resilient SDN Intercontroller Network Design under Availability Requirements and Geodiversity Constraints

Santos

Gomes

Martins

et al. 2022

2022 18th International Conference on the Design of Reliable Communication Networks (DRCN)

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In Software-Defined Networking (SDN), the data plane is defined by the switches which are connected to a set of controllers defining the control plane. The intercontroller connections have lacked the same focus in the literature as the switch-controller connections, despite the set of logically centralized controllers being the brain of the SDN network. In this paper, we address a bi-objective joint optimization problem involving the controller placement problem, geodiversity and intercontroller availability guarantees. The availability guarantees imply a subgraph whose links can be upgraded at a given cost. The geodiversity constraints extend robustness to disasterbased failures. To solve this NP-complete non-linear problem, we employ a heuristic strategy based on the decomposition into manageable subproblems.

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Section: Link Availability Upgradementioning

confidence: 99%

Resilient SDN Intercontroller Network Design under Availability Requirements and Geodiversity Constraints

Santos

Gomes

Martins

et al. 2022

2022 18th International Conference on the Design of Reliable Communication Networks (DRCN)

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“…Here we assume the node availabilities to be one, simplifying the path availability to the product of the link availabilities. This approach has been adopted in the wide area network literature [30], with the argument that node equipment availability is typically higher than link availability to begin with and node availability can be further increased through redundancy and hardening methods to where the unavailability is orders of magnitude higher than link unavailability.…”

Section: B Control Path Availability Targetsmentioning

confidence: 99%

“…Constraints (29) account for the links belonging to the spanning tree, by making use of the links in the routing paths to root node γ. Constraints (30) guarantee that the routing paths form a directed arborescence towards the root node γ. Constraints (31) guarantee that the upgraded links belong to the spanning tree.…”

Section: κ and 0 Otherwisementioning

confidence: 99%

SDN Controller Placement With Availability Upgrade Under Delay and Geodiversity Constraints

Santos

Gomes

Tipper

2021

IEEE Trans. Netw. Serv. Manage.

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An inherent problem in Software-Defined Networking (SDN) is the Controller Placement Problem, which addresses how many controllers to deploy in the network, and where to place them. Several variants of this problem have been addressed and researched to find the placements that adapt best to different contexts. In this paper, we address a more complex variant of this problem, to satisfy QoS requirements and to offer robustness against disaster-based failures. We address the joint optimization problem of controller placement and finding a tree subgraph which can be upgraded to have enhanced availability, in order to satisfy delay and availability constraints. Additionally, we consider geodiversity constraints as a way to enhance robustness to disaster-based failures.

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“…Finally, a guaranteed survivability system ensures that limits on downtime are not exceed, no matter what the type of failure, as done in Refs. [84,85] in a context different from network virtualization. If such condition is violated, the service provider is enforced to pay an economic compensation to the user.…”

Section: Fault Tolerancementioning

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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Availability‐driven optimal design of shared path protection in WDM networks

Cited by 5 publications

References 21 publications

Resilient SDN Intercontroller Network Design under Availability Requirements and Geodiversity Constraints

Resilient SDN Intercontroller Network Design under Availability Requirements and Geodiversity Constraints

SDN Controller Placement With Availability Upgrade Under Delay and Geodiversity Constraints

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

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