Change impact analysis and planning (CIAP) allows multiple independent change managers to use topology to safely schedule accurate change plans. Based on the timing of changes, it uses EXFO Ontology’s understanding of the dependencies, network faults and trouble tickets, to identify conflicts between independent change sets. With this analysis (which is possible in real-time), change mangers are able to compare the impact analysis of a change set against the stateful knowledge of network faults and trouble tickets to understand if it is still safe to proceed with a change.
Ensure that distributed planning is made safe as impacts are calculated, severities assigned, and central planning supervisors are informed when conflicts occur
Plan against accurate network and customer data
Make the calculation of plan impacts and conflicts easy and obvious
Save on the cost of re-planning; supervisors are able to investigate plan schedules to determine if savings can be made by combining overlapping changes
Help your supervisors investigate the scheduling of plans to determine whether costs can be reduced by combining overlapping changes. Or see if rescheduling conflicting changes can remove calculated change plan collisions. Both help avoid potential outages and service degradations. Centralized coordination of multiple change plans can reduce both the cost and length of disruptions by combining changes that impact the same parts of the network or the same top-level services.
When operators don’t have an accurate representation of their network, it’s difficult to access the impact of disruptions both planned and unplanned, manage where to send field technicians for maintenance activities as well as upgrade and plan for the future. EXFO Ontology helps operators understand the impact of changes to existing resources and better manage planned service disruptions to minimize impact on VIP customers. It helps operators design more accurately, reducing the need for re-planning.
When defining a maintenance window, it’s critical to understand the dependencies between the resources involved and affected. That information is imperative in assessing whether to assign an upgrade or maintenance activity with a go or no-go status. In addition, when two different teams are working simultaneously on two completely different parts of the network, unless they coordinate the impact of their activities, they might unknowingly cause a service disruption. EXFO Ontology works to help in both cases, making distributed planning safe by automating the detection of collisions.
When done manually, change impact analysis is a process that is quite cumbersome and expensive in terms of time spent to analyze a situation and get the necessary approvals required to go ahead and make changes. In addition, since the state of the network is constantly changing and evolving, something certainly happened in the network to alter its state from what is was when initially analyzed to where it currently stands. This is where EXFO Ontology’s topology can help: automating the entire process and delivering up-to-date information in real time to help make planning and operations more agile and more reliable.
The change impact analysis module equips project managers with accurate network and customer data, making it easier to plan changes or upgrades to network infrastructure. It makes calculating plan impacts and conflicts easy and obvious and proactively warns stakeholders when the severity of a pending plan is modified. EXFO Ontology’s dynamic network topology model visualizes these aggregated changes and flags any that cause conflicts.
Distributed planning is made safer as it allows different change planners to submit simultaneous change plans. Impacts are calculated, severities assigned and central planning supervisors are informed when conflicts occur. It can be integrated with workflow management systems, which minimizes disruption to existing business processes while still providing fully automated change impact analysis.
Plan supervisors can investigate plan schedules to determine if cost savings can be made by combining overlapping changes, or to see if rescheduling conflicting changes can remove calculated change plan collisions. Centralized coordination of multiple change plans can also help to reduce both cost and the length of disruptions by combining changes that impact the same parts of the network or the same top-level services.