Exanova Service Intelligence is a unique Lifecycle Service Orchestration (LSO) approach to network operations, for today’s complex, multi-vendor, hybrid networks. Exanova exploits network big data for real-time analytics, to inform intelligent service assurance and capacity planning actions. Release 6.1 features and benefits include
- Real-time performance analytics, with user-defined KPI alarming, to optimize utilization of elastic Network Functions Virtualization (NFV) infrastructure
- Topology-aware big data analytics to isolate fault and performance issues to a segment of a service path
- Enhanced visualization of complex multi-point topologies for small cell, macro cell, optical, Ethernet, and IP/MPLS technical domains, and across physical and virtual network functions (VNFs), for end-to-end real-time troubleshooting
- Intuitive search for services by given customer, port, or network element, to simplify end-to-end service management
- Comprehensive SLA management and exception reporting based on user-defined KPIs, such as Availability and Frame Loss, to trigger corrective actions between customer and provider
- Automation of business process workflows, to reduce service delivery intervals and opex
“Exanova Service Intelligence builds on the success of our deployed LSO solutions, ushering in next-generation data-driven operations,” said Andrew McDonald, Senior Vice President of Core Products, CENX. “Innovative service providers, who have been first to deploy NFV, are now laser-focused on delivering and assuring high-quality IoT and cloud offerings over that infrastructure. That’s where Exanova Service Intelligence proves essential. It gathers, correlates and analyzes network data across large-scale, dynamic, hybrid networks to drive automated, intelligent operational decisions.”
“Near-real-time analytics is a key requirement for virtual and hybrid next-generation networks OSS, to support CSPs’ service innovation objectives,” said Glen Ragoonanan, lead analyst of Analysys Mason’s Software-Controlled Networking programme. “Our recent report highlighted that near real-time analytics powers dynamic inventory which enables closed-loop automation for service assurance, service fulfilment and intelligent capacity planning functions. These enhanced operational functions can improve CSPs’ overall margin by improving operational efficiency and customer service quality.”
