A multi-area MPLS/GMPLS interoperability trial over ROADM/OXC network

Imajuku, Wataru; Oki, Eiji; Papneja, Rajiv; Morishita, Shin; Ogaki, Kenichi; Miyazawa, Masaaki; Miyazaki, Keiko; Nakazato, Hidenori; Sugiyama, Hidetsugu; Allen, Joby; Hasegawa, Satoru; Sakuraba, N.; Nishioka, Itaru; Seno, Shoichiro; Nakahira, Yoshihiro; Ishii, Daisuke; Okamoto, Satoru; Unen, T.; Blumhardt, M.; Rakotoranto, H.; Pandian, V.

doi:10.1109/mcom.2009.4785397

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…Another key discussion on GMPLS is a multi-area, multi-autonomous system (AS), multi-carrier, and interworking [32]. Between ASes, external network to network interface (E-NNI) is defined, as shown in Fig.…”

Section: Generalized Multi-protocol Label Switchingmentioning

confidence: 99%

Optical Networking Paradigm: Past, Recent Trends and Future Directions

Oki

Wada

Okamoto

et al. 2017

IEICE Trans. Commun.

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SUMMARY This paper presents past and recent trends of optical networks and addresses the future directions. First, we describe path networks with the historical backgrounds and trends. path networks have advanced by using various multiplexing technologies. They include time-division multiplexing (TDM), asynchronous transfer mode (ATM), and wavelengthdivision multiplexing (WDM). ATM was later succeeded to multi-protocol label switching (MPLS). Second, we present generalized MPLS technologies (GMPLS). In GMPLS, the label concept of MPLS is extended to other labels used in TDM, WDM, and fiber networks. GMPLS enables network operators to serve networks deployed by different technologies with a common protocol suite of GMPLS. Third, we describe multi-layer traffic engineering and a path computation element (PCE). Multi-layer traffic engineering designs and controls networks considering resource usages of more than one layer. This leads to use network resources more efficiently than the single-layer traffic engineering adopted independently for each layer. PCE is defined as a network element that computes paths, which are used for traffic engineering. Then, we address software-defined networks, which put the designed network functions into the programmable data plane by way of the management plane. We describe the evaluation from GMPLS to software defined networking (SDN) and transport SDN. Fifth, we describe the advanced devices and switches for optical networks. Finally, we address advances in networking technologies and future directions on optical networking.

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Section: Generalized Multi-protocol Label Switchingmentioning

confidence: 99%

Optical Networking Paradigm: Past, Recent Trends and Future Directions

Oki

Wada

Okamoto

et al. 2017

IEICE Trans. Commun.

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“…It may be implemented in packet-switched or circuit-switched networks where GMPLS is an example as it is able to set up paths on a short timescale [6]. The authors of [7] for example present extensions to the GMPLS suite to support reservation of network resources in advance.…”

Section: A Overviewmentioning

confidence: 99%

A subscription model for time-scheduled data transfers

Klein

Menth

Pries

et al. 2011

12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops

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We recently witness new services that can afford some delay until data transmission starts, but then benefit from a very large available bandwidth. A popular example is the migration of virtual machines between different sites of a geographically dispersed service provider.In this paper, we propose a sUbscription model for time scheduled data transfers. Transmission requests are served con secutively, giving the flows access to the physical bandwidth. This is in contrast to today's Internet where flows are served in parallel so that they compete for the available bandwidth. We present the architecture to enable such data beams. Furthermore, we model and analyze the performance under different conditions

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“…When each node receives the lightpath establishment request, it performs an action a t for the current state s t . Then, each node updates its own Q-function according to (2). As the Q-function is learned, the performance of the proposed method is improved so that the service differentiation is provided and the overall blocking probability does not increase so much.…”

Section: Problem Formulationmentioning

confidence: 99%

“…In Fig. 6, for a case of ξ 1 = 0.4, ξ 2 = 0.9, and ξ 3 = 1.0, all pairs of P (1) block and P (2) block which satisfy the above conditions are plotted. Note that P (3) block is not plotted for simplicity.…”

Section: Performance Comparison With Static Allocationmentioning

confidence: 99%

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A Reinforcement Learning-Based Lightpath Establishment for Service Differentiation in All-Optical WDM Networks

Koyanagi

Tachibana

Sugimoto

2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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In this paper, we propose a lightpath establishment method based on reinforcement learning for providing the service differentiation in all-optical WDM networks. In our proposed method, the optimal policy for the lightpath establishment is derived with Q-learning. With the derived policy, each node decides whether a lightpath establishment request of each class should be accepted or not. This method can be available even if the number of wavelengths is large and there is no assumption about the lightpath establishment. We also discuss how the proposed method is utilized with Generalized Multi-Protocol Label Switching (GMPLS). In numerical examples, we investigate the impacts of learning parameters on the performance of the proposed method. Then, we show that our proposed method can provide the service differentiation for the lightpath blocking probability, while utilizing wavelengths effectively.

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A multi-area MPLS/GMPLS interoperability trial over ROADM/OXC network

Cited by 5 publications

References 8 publications

Optical Networking Paradigm: Past, Recent Trends and Future Directions

Optical Networking Paradigm: Past, Recent Trends and Future Directions

A subscription model for time-scheduled data transfers

A Reinforcement Learning-Based Lightpath Establishment for Service Differentiation in All-Optical WDM Networks

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