Optical network design and optimization tools
Playbooks, scripts, and APIs
Intelligent multi-pathing for broadband, transit, and cloud gateways
Turn-up and Testing
Installation tools for calibration and fault detection
Reference our test database for optimal component integration
Network flapping, anomaly, and root cause matrix
Optical service aggregation into single or multiple lambda
Unstructured data synchronized with NetOps for service acceleration
Edge resource orchestration using smart ledger-based SLAs
Converging Layers and Building Intelligent Orchestration
We use unstructured data to improve network orchestration and optimize application performance.
By extracting telemetry data from the network side and sentiment data from an application, we optimize orchestration and circuit multi-pathing.
Application sentiment data such as log files, chat, text, video, tagging, or media, is synchronized with telemetry data to optimize when and where to push services to the edge.
Resource orchestration of edge clouds relies on the concept of network slicing and is based on isolated computing and network resources.
There is progress on the allocation of edge resources within a single cloud or edge data center. However, edge orchestration of multi-domain infrastructure or multi-administrative domain remains lagging.
We are developing new ways of aligning services at the edge, including smart contracts and ledger-based services. Specifically, decentralized, non-hierarchical service structures to facilitate Web3 organizations.
- smart edge resource orchestration
- allocate the most suitable edge compute (cloud exchange)
- distributed ledger database or service chains
- SLA delivery though fabric ledgers
- multi-tenant capability
- multi-stakeholder environment