Intelligent CIO Middle East Issue 23 - Page 38

TALKING BUSINESS Another factor restricting agility in optical networks is that today, these networks are planned using predicted worst-case capacity and end-of-life, full-fill system scenarios. They are built assuming a static mode of operation where the capacity rate of each wavelength is fixed. If capacity is over estimated, network providers are left with an inefficient network, paying for equipment that is sitting idle. On the flip side, if new demands arise unexpectedly, they need to go through new lengthy and costly planning and deployment cycles. It is time to challenge these traditional practices. Why manage optical networks in a static mode when capacity depends on available system margin – a fluid variable over the life of the network? Using configurable variable bit-rate coherent optics combined with real-time link engineering tools, CSPs can safely exploit excess margin to extract more value from existing assets. Benefits include greater capacity without requiring new hardware deployments, as well as enhanced network survivability. The only way today’s optical networks can handle unpredictable traffic demands and service level guarantees is through pre-deployment of hardware. As a result, network capacity and other infrastructure is often sitting idle and not generating revenue. With a software-defined optical network equipped with configurable optics, CSPs can dynamically allocate capacity as needed to meet business objectives and changing customer demands using existing deployed assets. In the future, networks will be simpler, with fewer layers and more automated Ravi Mali of Ciena multi-vendor, multi-domain service orchestration. New analytic capabilities will enable problems to be detected and addressed before they happen, avoiding service fluctuations and even outages. can scale to meet today’s significant bandwidth demands, while being open and programmable to deliver the exact service performance required at any point in time. Additionally, machine learning will enable us to understand what the expected end-of-life wavelength fill will be for specific paths and increase capacity rates of deployed coherent optics so that CSPs can better monetise their assets. Using this new approach, unexpected service demands will be dealt with in minutes without the need for field visits. It looks at the network and available margin and upshifts coherent optical capacity that has already been deployed where there is enough margin to do so. This helps reduce the need for CSPs to ‘overbuild’ networks which will sit idle in anticipation of future or peak demand. With Liquid Spectrum, Ciena has developed an innovative solution that helps CSPs take tangible steps towards making the autonomous network a reality. It meets CSPs’ needs for a programmable and software-defined optical network that is a more strategic contributor towards greater profitability. Liquid Spectrum dramatically simplifies how optical networks are designed, built, and operated. It enables systems that “In the connected world of the future, cars will increasingly drive themselves. Communications networks are heading the same way.” 38 INTELLIGENTCIO “Machine learning will enable us to increase capacity rates of deployed coherent optics so that CSPs can better monetise their assets.” The solution includes Ciena’s highly instrumented reconfigurable photonic layer, WaveLogic Ai tuneable coherent optics, Blue Planet Manage, Control and Plan (MCP) domain controller, and new SDN software applications. With Liquid Spectrum, CSPs will be able to monitor and mine all available network assets, instantly respond to new bandwi GFFVG2B6FR66G7&70F&VFRƖ6F&w&֖rFW&f6W02B7FF&BFW&f6W27W'@55>( &WV&VVG2f"66W76&RV&6FV7GW&RखFR6V7FVBv&BbFRgWGW&R6'2v7&V6vǒG&fRFV6VfW26V6F2WGv&2&RVFpFR6RvBvFƗVB7V7G'V6V2VrFRFR6Vbv&RFVƖvVBWGv&&VƗGwwrFVƖvVF66