Survivability using traffic balancing and backup resource reservation in multi-domain optical networks

2018 ◽  
Vol 31 (15) ◽  
pp. e3786 ◽  
Author(s):  
Deepak Batham ◽  
Dharmendra Singh Yadav ◽  
Shashi Prakash
Keyword(s):  
Optical Networks ◽  
Resource Reservation ◽  
Traffic Balancing

scholarly journals Hybrid optimized approaches for routing and resource reservation protocols in optical networks

2021 ◽  
pp. 1-1
Author(s):  
Akhtar Nawaz Khan ◽  
Hassan Yousif ◽  
Medien Zeghid ◽  
Samir Brahim Belhaouari ◽  
Waqas Ahmed Imtiaz ◽  
...  
Keyword(s):  
Optical Networks ◽  
Resource Reservation

Experiment Study of Downstream Traffic Balancing Strategy on 40G Long Reach Coherent PON

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Panke Qin ◽  
Jiawei Wang ◽  
Jingru Wu ◽  
Shangya Han ◽  
Qing Ye
Keyword(s):  
Optical Networks ◽  
Optical Network ◽  
Experimental System ◽  
Passive Optical Network ◽  
Core Network ◽  
Bandwidth Utilization ◽  
Dynamic Traffic ◽  
Device Structure ◽  
Long Distance ◽  
Traffic Balancing

AbstractDistributed high-bandwidth consumption services such as cloud computing require large-capacity, long-distance, and wide-coverage development requirements for Next-Generation Passive Optical Networks (NG-PON2). With the development of NG-PON2 technology, the optical line terminal (OLT) device structure of passive optical network (PON) system is also increasingly complex and heterogeneous. This leads to the problem of network congestion and low bandwidth utilization caused by the unbalanced use of link and port resources in the traditional core network in the PON network. Based on the 40G coherent PON experimental system, this paper studies the traffic balancing problem of OLT equipment, and proposes a dynamic traffic balancing strategy based on real-time monitoring of load sharing and reporting of police and periodic adjustment. The experimental results show that the designed dynamic traffic balancing strategy can effectively reduce the PON network blocking rate and improve bandwidth utilization.

scholarly journals Determination of Traffic Characteristics of Elastic Optical Networks Nodes with Reservation Mechanisms

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1853
Author(s):  
Maciej Sobieraj ◽  
Piotr Zwierzykowski ◽  
Erich Leitgeb
Keyword(s):  
Optical Networks ◽  
Optical Switching ◽  
Heavy Traffic ◽  
Service Level ◽  
Resource Reservation ◽  
Loss Probability ◽  
Simulation Program ◽  
Switching Network ◽  
Traffic Characteristics ◽  
Increasing Demand

With the ever-increasing demand for bandwidth, appropriate mechanisms that would provide reliable and optimum service level to designated or specified traffic classes during heavy traffic loads in networks are becoming particularly sought after. One of these mechanisms is the resource reservation mechanism, in which parts of the resources are available only to selected (pre-defined) services. While considering modern elastic optical networks (EONs) where advanced data transmission techniques are used, an attempt was made to develop a simulation program that would make it possible to determine the traffic characteristics of the nodes in EONs. This article discusses a simulation program that has the advantage of providing the possibility to determine the loss probability for individual service classes in the nodes of an EON where the resource reservation mechanism has been introduced. The initial assumption in the article is that a Clos optical switching network is used to construct the EON nodes. The results obtained with the simulator developed by the authors will allow the influence of the introduced reservation mechanism on the loss probability of calls of individual traffic classes that are offered to the system under consideration to be determined.

Sparse Placement of Wavelength Convertible 3R Regenerators and Joint Resource Assignment in Large-Scale Optical Networks

2013 ◽  
Vol E96.B (7) ◽  
pp. 1845-1856
Author(s):  
Xin WANG ◽  
Filippos BALASIS ◽  
Sugang XU ◽  
Yoshiaki TANAKA
Keyword(s):  
Optical Networks ◽  
Large Scale ◽  
Resource Assignment
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