Network Planning & Optimization
Aria enables service providers to reduce annual equipment expenditure by as much as 20%.
Service providers and data center operators commonly over-provision infrastructure to allow for future expansion of services. While this once seemed prudent, it now represents wasteful expenditure and extra maintenance overhead.
And in the digital economy, service providers and their customers need the end-to-end supply chain to run much faster. Which means moving from a “just-in-case” to a “just-in-time” approach.
Aria helps service providers make the move to more efficient networks, and a faster, more responsive end-to-end supply chain, by answering critical questions such as:
- When, where and how will the network be impacted by changes in traffic and growth?
- What is the best way to route services or reconfigure the network?
- Where are the hot spots and where are the service provision bottlenecks?
- How could I deliver the same services, in a more optimal way?
With real-time network planning and capacity optimization capabilities service providers and data center operators can:
- Optimize current infrastructure assets to deliver a more effective service
- Plan service roll outs to ensure that the right infrastructure is deployed for the current and future levels of demand
- Leverage the power of big customer data to deliver improved service levels
- Reduce service failures and plan contingency in case of service outages
As a result, budgeting and planning processes that previously took several months can be automated and completed in hours. Aria enables service providers to plan capital expenditure precisely, with significantly less need to build in contingent capacity, helping to reduce annual equipment expenditure by up to 20%.
For examples of how Aria helps service providers, check out our customer stories.
Our solution is vendor-agnostic, and provides support across multiple technologies, including:
- IP, MPLS-TE, VPN, P2P/P2MP Tunnels and Ethernet data services
- 3G, LTE and WiFi mobile backhaul and core networks
- SDH, SONET and optical transport
- Cloud and CDN networks
There are many ways to approach optimization, so Aria’s offering is comprehensive, including:
- Predictive optimization: incorporating sophisticated modeling and analytics to make accurate and timely decisions
- Dynamic optimization: real-time analysis and design, fed directly back into orchestration, activation or provisioning systems for complete, closed-loop automation.
Aria models the network topology, existing services and future demand. A sophisticated routing engine uses Machine Learning to establish the optimum routes for traffic, based around key criteria and multiple constraints.
Network Capacity Planning
Aria is uniquely capable of modeling multi-technology networks, service policies, cost models and traffic forecasts to produce plans for optimized, profitable network upgrades.
Aria provides comprehensive insight in to the impact of service demand growth on assets deployed in the network, producing asset utilization reports, cost reports and optimal bill-of-materials for timely network upgrades.
Each node in the network has its logical and physical capacity captured in a template language, which also defines the current availability of chassis, devices, cards and ports, as well as the scope for adding new ‘in-fill’ equipment and the resultant need for space, power, and heating, ventilation and air conditioning.
Each template also includes a sophisticated cost model enabling calculation of the capital and operational cost of a particular network architecture, build plan or service design.
Aria also reveals what each asset consumes, not just in terms of bandwidth, but also ports, physical links, internal switching capacity and lower-layer services.
Aria offers a powerful yet simple-to-use analytics tool that unlocks the value in service providers’ OSS and BSS data, and automatically identifies patterns and relationships in data sources and historic time-series data.
Users can perform sophisticated, accurate trend analysis and predictions, using current or historical data.
Service providers can plan for the future effectively based on real data, rather than reacting to issues and problem solving. For example:
- Forecasting asset end of life and preparing for replacement proactively
- Predicting utilisation of cloud services, such as server CPU and storage demands, and forecasting future capacity requirements
- Predicting the impact of enabling 4G cell sites to manage backhaul and RAN requirements
- Analysis of customer churn, using big data to identify patterns and reasons for churn
- Predicting service uptake, using demographic data to analyse which customers in which locations are most likely to buy new products
Aria’s easy to use interface and powerful algorithms provide real insight across terabytes of data quickly, simply and effectively.
For more on our current portfolio of applications, see here.