We are born as a unified multilayer tool simulating the full E2E interactions at all the layers, including IP/MPLS, OTN and PDH/SDH. Multilayer planning is a must to avoid false or hidden redundancies, and all sorts of myopic and expensive planning decisions.
Operators’ and vendors’ interest may be different. Cost evaluations are based on customer-defined equipment catalogues and compatibility databases.
We provide customized solutions adapted to customers’ OSS/NMS. Ask for tuned functionalities.
E-lighthouse Network Solutions is a start-up specialized in providing carrier-grade multilayer network planning customized software and consultancy solutions.
We are born with strong R&D roots, from internationally recognized expertise in multilayer network optimization and planning. This permits us offering a state-of-the-art multilayer design and be the first incorporating cutting-edge technology variants to our multilayer network view. Going beyond the academic vision to fill the gap between R&D and real-life network planning, is in our DNA.
E-lighthouse Network Planner is born as a third-party multivendor tool, leveraging on our experience and prestige as founders and leaders of the internationally recognized open-source network planning initiative Net2Plan.
Real-life networks mix multiple technologies, at multiple layers, with heterogeneous equipment coming from multiple vendors. E-lighthouse Network Planner fits to that.
We provide different levels of integration of our planning software with the customer OSS/NMS system. We believe that this is the form of keeping an updated network view, putting the network planning inside the operation workflow, and thus helping our customers to make the most of the network optimizations that our software can bring.
Our team holds wide experience in network design, management, and operation. Our services can also help the customer on its strategic planning and techno-economic project evaluations.
An attractive multilayer graphical visualization with geographical positioning of the network topology, access to network performance metrics, visual insights and analysis of the interactions among layers.
G.709 compliant, flex-grid, multi-modulation, multi-vendor. Alien wavelength handling capabilities. State-of-the-art optical impairments, routing and spectrum assignments reports.
IGP/BGP simulation with user-configurable traffic injection policies, MPLS-TE tunnels, user-defined QoS and link scheduling policies, L2/L3VPNs, IP multicast, Link aggregations.
Fully multilayer design & capacity planning, considering the total costs at the different layers, as well as automatic elaboration of traffic forecasts and simulation of network upgrades under them.
Customized reports summarizing the network state and performances, automatic elaboration of bill-of-materials for network upgrades, leveraging on the customer’s inventory & equipment catalogue.
Our IP-hierarchy functionality, lets the customer define IP node hierarchical levels (e.g. access, aggregation, core, interconnection), and the connectivity constraints among them. Our optimized designs will match such constraints.
We use Artificial Intelligence (AI) techniques to forecast the network traffic from the NMS link monitoring information, and our state-of-the-art algorithms can build the network origin-destination IP traffic matrix from there.
ENP ad-hoc developments are targeted to connect to the customer OSS and NMS to have a Live view of the network, its inventory and equipment catalogue for new acquisitions.
Simulated analysis of network vulnerabilities under customer-defined traffic shifts and/or network failures, visually identifying critical points, disclosing the interactions among layers.
Customer-defined, vendor-agnostic multilayer equipment catalogue, considering installation and acquisition costs, compatibility info and stock management.
We adapt our tool to connect to customers’ OSS/NMS and develop ad-hoc functionalities.
Optimization of the resource allocation and traffic engineering, for making the most of existing equipment, and identifying underutilized resources for decommissioning.