Distributed sub-light-tree based multicast provisioning with shared protection in elastic optical datacenter networks

Gao, Tao; Zou, Weixia; Li, Xin; Guo, Bingli; Huang, Shanguo; Mukherjee, Biswanath

doi:10.1016/j.osn.2018.08.003

Cited by 11 publications

(11 citation statements)

References 24 publications

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“…In this section, we first elaborate the traditional survivability techniques designed for optical sensing, such as the fiber bus protection scheme [40,41,42,43,44,45] and self-healing architecture [46,47,48,49,50,51,52,53]. Then, we elaborate the traditional survivability techniques that can be applied in OSNs, such as 1 + 1 protection and extensions [54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72], the photonic millimeter-wave bridge scheme [73,74,75,76,77,78], the p-cycle scheme [79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97], the p-polyhedron scheme [98,99,100,101,102,103,…”

Section: Existing Survivability Technologies In Osnsmentioning

confidence: 99%

“…In [71], they proposed the link importance incorporated failure probability measuring solution for multicast light-trees. In [72], the authors proposed distributed sub-light-tree-based multicast provisioning with a shared protection scheme. Each source–destination pair of a primary DSLT was protected by a link-disjoint backup path against any link failure.…”

Section: Existing Survivability Technologies In Osnsmentioning

confidence: 99%

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Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey

Zhang

Xin

2019

Sensors

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Optical sensing that integrates communication and sensing functions is playing a more and more important role in both military and civil applications. Incorporating optical sensing and optical communication, optical sensor networks (OSNs) that undertake the task of high-speed and large-capacity applications and sensing data transmissions have become an important communication infrastructure. However, multiple failures and disasters in OSNs can cause serious sensing provisioning problems. To ensure uninterrupted sensing data transmission, survivability has always been an important research emphasis. This paper focuses on the survivable deployment of OSNs against multiple failures and disasters. We first review and evaluate the existing survivability technologies developed for or applied to OSNs, such as fiber bus protection, self-healing architecture, and 1 + 1 protection. We then elaborate on the disaster-resilient survivability requirement of OSNs. Moreover, we propose a new k-node (edge) sensing connectivity concept, which ensures the connectivity between sensing data and users. Based on k-node (edge) sensing connectivity, the disaster-resilient survivability technologies are developed. The key technologies necessary to implement k-node (edge) sensing connectivity are also elaborated. Recently, artificial intelligence (AI) has developed rapidly. It can be used to improve the survivability of OSNs. This paper details potential development directions of survivability technologies of optical sensing in OSNs employing AI.

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Section: Existing Survivability Technologies In Osnsmentioning

confidence: 99%

Section: Existing Survivability Technologies In Osnsmentioning

confidence: 99%

Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey

Zhang

Xin

2019

Sensors

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“…Although SDN is an emerging candidate for faster and cheaper networks, there are still many aspects that have to be properly addressed to ensure reliable and efficient network services provisioning, control, resiliency, security and management. Even though a significant amount of research has been carried out with a focus on lightpath routing in SDN [73][74][75][76][77][78][79][80][81][82], there still remain a number of research issues that require further research. This section describes open research areas for lightpath provisioning and management in SDN environments.…”

Section: Research Directionsmentioning

confidence: 99%

“…Protection and restoration in SDN optical networks using back‐up multiplexing was introduced by Gao et al . [82]. In their study, a path link disjoint method was used to improve lightpath survivability for a static traffic model.…”

Section: Lightpath Overviewmentioning

confidence: 99%

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Towards programmable on‐demand lightpath services: current state‐of‐the‐art and open research areas

et al. 2019

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With emerging programmable network architectures gaining momentum in the networking industry, it is necessary to look at how the services currently offered on traditional network architectures can be fully migrated to the programmable networks. In traditional networks, lightpaths are used for providing high-bandwidth consuming services that are usually sensitive to delay. Lightpath scheduling requires admission control mechanisms, routing and wavelength assignment algorithms, and protection and restoration mechanisms that ensure reliable and efficient lightpath routing. Software defined networking (SDN) is the emerging programmable network architecture that paves the way for easier network management and configuration by using application programming interfaces. The state-of-the-art in lightpath routing for wavelength division multiplexing networks focusing on lightpath scheduling, routing, protection and restoration in optical software defined networks is surveyed. Moreover, open research issues for SDN lightpath routing solution are discussed.

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MDTA: An efficient, scalable and fast Multiple Disjoint Tree Algorithm for dynamic environments

Lopez-Pajares,

Rojas,

Mishra

et al. 2025

Computer Communications

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Distributed sub-light-tree based multicast provisioning with shared protection in elastic optical datacenter networks

Cited by 11 publications

References 24 publications

Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey

Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey

Towards programmable on‐demand lightpath services: current state‐of‐the‐art and open research areas

MDTA: An efficient, scalable and fast Multiple Disjoint Tree Algorithm for dynamic environments

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