NOVA (Network Optimized Video Analytics)

Project NOVA will build on the University of Ottawa and Ciena’s advanced analytics capabilities to allow networks around the world to understand where video flows run over their network.  This will allow the network operators to improve video Qualify of Experience for their end customers, more quickly and cost effectively fix video impacting network problems, plan their networks to better support video, and provide greater customer service awareness of end customer over the top video quality. Ciena anticipates this capability will propel it into be the world leader in network video analytic

Model-Aided Performance Analysis from System Traces

System performance can be analyzed by measuring its operation, and by studying a performance model. Each has advantages: measurements have fidelity to the actual system, while models have predictive power. This work will join the two approaches, by creating a model from data collected from traces. If successful, this model will help Ciena to understand performance issues, and to maintain or improve performance as the system evolves.

Ciena OPn - WP 3.1.1 Supply Chain Agility, Life Cycle Management and Forecast Accuracy

Ciena Corporation is a global supplier of telecommunications networking equipment. It develops this equipment in a high product mix, low volume environment. Due to this environment and the short cycle times of its products, the company has product categories, which are highly dynamic both in volume and number of customers. Ciena wishes to be more agile in managing its supply chain. It also wishes to better predict the dynamics of product volume and product end-of-life over short timeframes.

Supply chain metrics during the product lifecycle (extension)

Ciena Corporation is a global supplier of telecommunications networking equipment, software and services. The company operates in a high product mix, low volume environment with short product cycle times. As a consequence, it has difficulty estimating product volumes and end-of-life inventory. The project will determine the best set of metrics during product lifecycle stages in order to measure supply chain performance, to estimate total product volumes, and to minimize end-of-life inventory.

Routing and Spectral Assignment in Mesh Optical Networks

The project consists in the design, development and testing of algorithms that can solve the routing and wavelength assignment problem in optical networks, for data instances with up to 100 wavelengths and few hundred nodes. Indeed, for each demand between a source and destination, it consists in determining a route, and assigning it a wavelength such that no link supports 2 routes with the same wavelength.

Supply chain metrics during the product lifecycle

Ciena Corporation is a global supplier of telecommunications networking equipment, software and services. The company operates in a high product mix, low volume environment with short product cycle times. As a consequence, it has difficulty estimating product volumes and end-of-life inventory. The project will determine the best set of metrics during product lifecycle stages in order to measure supply chain performance, to estimate total product volumes, and to minimize end-of-life inventory.

Design of a self-adapting project management application

To be more competitive in the market, many companies are trying to speed up the quotation process and quote more attractive prices and have identified a need for support in the quotation process in order to reduce the quotation lead-time and ensure a higher level of accuracy in the cost estimations. In the case of CIENA, a first investment has been made for an automated price quotation system with respect to the equipment/products that are sold by the company (currently under development).

Development of design algorithms for WDM network modernization

The rapid technological evolution of telecommunication networks demands service providers to regularly update their technology, with the aim of remaining competitive in the marketplace. However, upgrading the technology in a network is not a trivial task. When modernizing a network, the existing infrastructure and network components need to be taken into account. The design exercise must not only take into consideration the overall desired functionality and capacity but also the existing network properties.

Development of algorithms for scheduling WDM network migrations

The rapid technological evolution of telecommunication networks demands service providers to regularly update their technology, with the aim of remaining competitive in the marketplace. However, upgrading the technology in a network is not a trivial task. New hardware components need to be installed in the network and during the installation, network connectivity may be temporary compromised.

Development of design algorithms for WDM software defined networks

New developments in optical networks management is allowing to control network with a higher degree of abstraction. Software defined networks aim at providing simple mechanisms to manage open interface between devices and equipment within the network and the software controlling them. Furthermore, managing networks using software allows adapting them to evolving traffic patterns and applications, dedicating bandwidth where it is needed.

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